SJE főmenü
prof. Dr. Annamária Várkonyiné Kóczy, DSc.
Név: prof. Dr. Annamária Várkonyiné Kóczy, DSc.
Kar: Gazdaságtudományi és Informatikai Kar
Tanszék: Informatika Tanszék
Beosztás: Egyetemi tanár
Iroda: TP3D
E-mail:
Telefon: +421 35 32 60 653
A tanulmányi programért felelős személy:
Alkalmazott informatika (1. szint, nappali képzés)
A tanulmányi program profiltantárgyáért felelős személy:
Alkalmazott informatika (2. szint, nappali képzés)
Matematika és informatika oktatásának elmélete - Informatika szak (3. szint, nappali képzés)

Egyetemi tanulmányok
Budapesti Műszaki Egyetem, Villamosmérnöki Kar
Műszer- és Irányítástechnika Szak
1975 - 1981
Budapesti Műszaki Egyetem, Gépészmérnöki Kar
Gépészmérnök-tanár Szak
1978 - 1983
Doktori képzés (PhD.)
Budapesti Műszaki Egyetem
Informatika
- 1996
Habilitáció
Széchenyi István Egyetem, Győr
Informatikai Tudományok
2017
Professzori-inaugurációs folyamat
Óbudai Egyetem
Informatika
2010
DSc.
Magyar Tudományos Akadémia
Informatika
2010

Munkaviszonyok
Selye János Egyetem, Informatika Tanszék
egyetemi tanár
2013 -
Óbudai Egyetem, Mechatronika és Járműtechnikai Intézet
kutatóprofesszor
2009 - 2020
Budapesti Műszaki Egyetem, Méréstechnika és Információs Rendszerek Tanszék
tanársegéd, 1991-1996, adjunktus, 1996-1998, docens, 1998-2009
1991 - 2009
Magyar Tudományos Akadémia
tudományos munkatárs
1987 - 1991
Távközlési Kutatóintézet
tudományos segédmunkatárs, 1981, tudományos munkatárs, 1982-1987
1982 - 1987
Óbudai Egyetem, Szoftver tervezés és -fejlesztés Intézet
egyetemi tanár
2020 -


Kutatási terület Digitális kép- és jelfeldolgozás, modellezés és diagnosztika, lágyszámítási módszerek, anytime és hibrid technikák alkalmazása intelligens mérő-, diagnosztikai és vezérlőrendszerekben

Kutatási projektek Járműipari felsőoktatási és kutatási együttműködés, nemzetköziesítés főirány
TÁMOP 4.1.1.C-12/1/KONV
Európai Strukturális és Beruházási Alapok
2013 - 2015

Intelligens tér, intelligens robot
OTKA K 105846
Országos Tudományos Kutatási Alap
2012 - 2017

Intelligens és lágyszámítási módszerek a digitális jel- és képfeldolgozásban
OTKA K 78576
Országos Tudományos Kutatási Alap
2009 - 2013

Intelligens 3D modellező, felügyelő és elemző rendszer
GVOP-3.3.1-05/1.2005-05-0160/3.0
Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal
2006 - 2007

Intelligens jármű-ütközés elemző rendszer
OTKA T 049519
Országos Tudományos Kutatási Alap
2005 - 2009

Lágyszámítási módszerek alkalmazása modell alapú intelligens adaptív és asszociatív jelfeldolgozási
P-24/03
Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal
2004 - 2005

Hibrid és lágy számítási módszerekre épülő intelligens navigációs modellek és algoritmusok
OTKA T 035190
Országos Tudományos Kutatási Alap
2001 - 2004

Szoft számítási módszerek rendszer modellek és számítási algoritmusok komplexitás csökkentésére
P-16/99
Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal
2000 - 2002

'Anytime' algoritmusok a digitális jelfeldolgozásban
OTKA T 026254
Országos Tudományos Kutatási Alap
1998 - 2001





A1 kategória - Tudományos monográfiaszerű könyv jellegű publikációk (AAA, AAB, ABA, ABB, ABC, ABD)
Bejegyzések száma: 0

A2 kategória - Egyéb könyv jellegű publikációk (ACA, ACB, BAA, BAB, BCB, BCI, EAI, CAA, CAB, EAJ, FAI)
Bejegyzések száma: 1
FAI Könyv jellegű szerkesztői munkák (1)

B kategória - Nemzetközi adatbázisban jegyzett folyóiratok, szerzői bozonylatok, szabadalmak és felfedezések (ADC, ADD, AEG, AEH, BDC, BDD, CDC, CDD, AGJ)
Bejegyzések száma: 12
ADC Külföldi karentált folyóiratokban megjelent tudományos munkák (12)

C kategória - Egyéb recenzált publikációk (ACC, ACD, ADE, ADF, AEC, AED, AFA, AFB, AFC, AFD, AFE, AFF, AFG, AFH, BBA, BBB, BCK, BDA, BDB, BDE, BDF, BEC, BED, BFA, BFB, BGH, CDE, CDF)
Bejegyzések száma: 71
AEC Külföldi recenzált tudományos tanulmánykötetekben, monográfiákban megjelent tudományos munkák (3)
AFC Külföldi tudományos konferencián publikált cikkek (61)
AFD Hazai tudományos konferencián publikált cikkek (7)

N kategória - Egyéb nem recenzált publikációk (ADM, ADN, AEM, AEN, BDM, BDN, CBA, CBB)
Bejegyzések száma: 8
ADM A Web of Science vagy SCOPUS adatbázisban jegyzett külföldi folyóiratokban megjelent tudományos munkák (7)
BDM A Web of Science vagy SCOPUS adatbázisban jegyzett külföldi folyóiratokban megjelent szakcikkek (1)

D kategória - Egyéb - a SZKOM által meghatározott kategóriákon kívüli publikációk
Bejegyzések száma: 2
BEE Külföldi tanulmánykötetekben megjelent szakmai munkák (konferencia és nem konferencia) (2)

Bejegyzések száma összesen: 94

Hivatkozások:

[1] Nemzetközi (WoS vagy Scopus) adatbázisban jegyzett külföldi publikációkban megjelent hivatkozások, ill. bírálatok (30)
[3] Nemzetközi adatbázisban nem jegyzett, külföldi publikációkban megjelent hivatkozások (2)
Összesen 32

Publikációk listája

ADC Külföldi karentált folyóiratokban megjelent tudományos munkák
Bejegyzések száma: 12


ADC 001 TÓTH-LAUFER, Edit a Annamária VÁRKONYINÉ KÓCZY. A Soft Computing-Based Hierarchical Sport Activity Risk Level Calculation Model for Supporting Home Exercises. DOI 10.1109/TIM.2014.2299523 IEEE Transactions on Instrumentation and Measurement. Vol. 63, no. 6 (2014), p. 1400-1411. ISSN 0018-9456. WoS. IF (2012): 1,357. SNIP (2013): 2,157.

Hivatkozások:
2021  [1] ZHU, R. Real-time monitoring of the athlete's musculoskeletal health based on an embedded processor. In Microprocessors and Microsystems. ISSN 0141-9331, 2021, vol. 81. WoS ; SCOPUS

2015  [1] MACIS, S. - LOI, D. - PANI, D. et al. Home Telemonitoring of Vital Signs Through a TV-based Application for Elderly Patients. In IEEE International Symposium on Medical Measurements and Applications (MEMEA) Proceedings. New York : IEEE, 2015. ISBN 978-1-4799-6476-5, p. 169-174. WoS ; SCOPUS



ADC 002 TÓTH-LAUFER, Edit a Annamária VÁRKONYINÉ KÓCZY. Personal-Statistics-Based Heart Rate Evaluation in Anytime Risk Calculation Model. DOI 10.1109/TIM.2014.2376111 IEEE Transactions on Instrumentation and Measurement. Vol. 64, no. 8 (2015), p. 2127-2135. ISSN 0018-9456. WoS, SCOPUS. IF (2014): 1,790. SNIP (2014): 2,004.

Hivatkozások:
2019  [1] KIM, S. - LEE, K.- K. Low-complexity joint extrapolation-MUSIC-beaed 2-D parameter estimatior for vital FMCW radar. In IEEE sensors journal. ISSN 1530-437X, 2019, vol. 19, no. 6, p. 2205-2216. SCOPUS

2016  [1] SHIRMOHAMMADI, S. - BARBE, K. - GRIMALDI, D. et al. Instrumentation and Measurement in Medical, Biomedical, and Healthcare Systems. In IEEE Instrumentation & Measurement Magazine. ISSN 1094-6969, 2016, vol. 19, no. 5, p. 6-12. WoS ; SCOPUS



ADC 003 SHAMSHIRBAND, Shahaboddin, Masoud HADIPOOR, Alireza BAGHBAN, Amir MOSAVI, József BUKOR a Annamária VÁRKONYINÉ KÓCZY. Developing an ANFIS-PSO model to predict mercury emissions in combustion flue gases. DOI 10.3390/math7100965 Mathematics. Vol. 7, no. 10 (2019), art. no. 965, p. 1-16. ISSN 2227-7390. CCC, WoS, SCOPUS.

Q WoS=Q1

ADC 004 MOSAVI, Amir, Mohsen SALIMI, Sina Faizollahzadeh ARDABILI, Timon RABCZUK, Shahaboddin SHAMSHIRBAND a Annamária VÁRKONYINÉ KÓCZY. State of the art of machine learning models in energy systems, a systematic review. DOI 10.3390/en12071301 Energies : an open access journal of related scientific research, technology development, engineering, and the studies in policy and management. online, vol. 12, no. 7 (2019), p. 1301-1342. ISSN 1996-1073 (online). CCC, WoS, SCOPUS.

Q WoS=Q3

ADC 005 ARAM, Farshid, Ebrahim SOLGI, Esther Highueras GARCIA, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. The Cooling Effect of Large-Scale Urban Parks on Surrounding Area Thermal Comfort. DOI 10.3390/en12203904 Energies. Vol. 12, no. 20 (2019), p. 1-21 [online]. ISSN 1996-1073 (online). CCC, WoS, SCOPUS.

ADC 006 HOMAEI, Mohammad Hossein, Faezeh SOLEIMANI, Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Narjes NABIPOUR a Annamária VÁRKONYINÉ KÓCZY. An Enhanced Distributed Congestion Control Method for Classical 6LowPAN Protocols Using Fuzzy Decision System. DOI 10.1109/ACCESS.2020.2968524 IEEE Access : practical innovations, open solutions. online, vol. 8 (2020), p. 20628-20645. ISSN 2169-3536 (online). CCC, WoS, SCOPUS.

Q WoS=Q1

ADC 007 BEMANI, Amin, Alireza BAGHBAN, Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Peter CSIBA a Annamária VÁRKONYINÉ KÓCZY. Applying ANN, ANFIS and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2. DOI 10.32604/cmc.2020.07723 Computers, Materials & Continua. Vol. 63, no. 3 (2020), p. 1175-1204. ISSN 1546-2218. CCC, WoS, SCOPUS.

Q WoS=Q1

ADC 008 KARBALLAEEZADEH, Nader, Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Narjes NABIPOUR, Farah ZAREMOTEKHASES, Peter CSIBA a Annamária VÁRKONYINÉ KÓCZY. Intelligent road inspection with advanced machine learning; Hybrid prediction models for smart mobility and transportation maintenance systems. DOI 10.3390/en13071718 Energies. online, vol. 13, no. 7 (2020), p. [1-21]. ISSN 1996-1073 (online). CCC, WoS, SCOPUS.

Q WoS=Q1 Q Scopus=Q2

ADC 009 KHAKIAN, Reza, Mehrdad KARIMIMOSHAVER, Farshid ARAM, Zoroufchi BENIS SOGHRA, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Modeling Nearly Zero Energy Buildings for Sustainable Development in Rural Areas. DOI 10.3390/en13102593 Energies. online, Vol. 13, no. 10 (2020), p. [1-19]. ISSN 1996-1073 (online). CCC, WoS, Scopus.

Q WoS=Q3 Q Scopus=Q2

ADC 010 SHABANI, Sevda, Saeed SAMADIANFARD, Mohammad Taghi SATTARI, Amir MOSAVI, Shahaboddin SHAMSHIRBAND, Tibor KMEŤ a Annamária VÁRKONYINÉ KÓCZY. Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis. DOI 10.3390/ATMOS11010066 Atmosphere. Vol. 11, no. 1 (2020), p. [1-17]. ISSN 2073-4433. CCC, WoS, SCOPUS.

Q WoS=Q3

ADC 011 ASGHAR, Muhammad Zubair, Fazli SUBHAN, Muhammad IMRAN, Fazal Masud KUNDI, Adil KHAN, Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Peter CSIBA a Annamária VÁRKONYINÉ KÓCZY. Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content. DOI 10.32604/cmc.2020.07709 Computers, Materials & Continua. Vol. 63, no. 3 (2020), p. 1093-1118. ISSN 1546-2218. CCC, WoS. IF (2019): 3,024.

H-index=33 Q WoS=Q1

ADC 012 BAND, Shahab S., Ardashir MOHAMMADZADEH, Peter CSIBA, Amirhosein MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Voltage Regulation for Photovoltaics-Battery-Fuel Systems Using Adaptive Group Method of Data Handling Neural Networks (GMDH-NN). DOI 10.1109/ACCESS.2020.3037134 IEEE Access : practical innovations, open solutions. online, vol. 8 (2020), p. 213748-213757. ISSN 2169-3536 (online). CCC, WoS.

Q WoS=Q1


ADM A Web of Science vagy SCOPUS adatbázisban jegyzett külföldi folyóiratokban megjelent tudományos munkák
Bejegyzések száma: 7


ADM 001 VÁRKONYINÉ KÓCZY, Annamária. Fuzzy approaches in anytime systems., 2013. DOI 10.1007/978-3-642-35644-5-43.

ADM 002 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a József BUKOR. Improving the Model Convergence Properties of Classifier Feed-Forward MLP Neural Networks. DOI 10.1007/978-3-319-06323-2 Studies in Fuzziness and Soft Computing. Vol. 317 (2014), p. 281-293. ISSN 1434-9922. WoS, SCOPUS. SNIP (2013): 0,149.

ADM 003 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a Imre RUDAS. Knowledge representation in ISpace based man-machine communication. DOI 10.1007/978-3-319-03674-8-23 Studies in Fuzziness and Soft Computing. No. 312 (2014), p. 241-251. ISSN 1434-9922. SCOPUS.

ADM 004 MOUSAVI, Seyedmajid, Amir MOSAVI, Annamária VÁRKONYINÉ KÓCZY a Gábor FAZEKASI. Dynamic Resource Allocation in Cloud Computing. DOI 10.12700/APH.14.4.2017.4.5 Acta Polytechnica Hungarica. Vol. 14, no. 4 (2017), p. 83-104. ISSN 1785-8860. WoS. IF (2016): 0,745.

Hivatkozások:
2019  [1] REHMAN, A. - HUSSAIN, S. S. - ur REHMAN, Z. -et al. Multi-objective approach of energy efficient workflow scheduling in cloud environments. In Concurrency computation. ISSN 1532-0626, 2019, vol. 31, no. 8. SCOPUS



ADM 005 TUSOR, Balázs, János TÓTH a Annamária VÁRKONYINÉ KÓCZY. SIT-based Functional Dependency Extraction. Acta Polytechnica Hungarica : An international peer-reviewed scientific journal of Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section : journal of applied sciences. Vol. 16, no. 10 (2019), p. 65-81. ISSN 1785-8860. WoS, SCOPUS. IF (2018): 1,286.

Q WoS=Q3

ADM 006 ARDABILI, Sina Faizollahzadeh, Amir MOSAVI, Pedram GHAMISI, Ferdinánd FILIP, Annamária VÁRKONYINÉ KÓCZY, Uwe REUTER, Timon RABCZUK a Peter M. ATKINSON. COVID-19 Outbreak Prediction with Machine Learning. DOI 10.3390/a13100249 Algorithms. Vol. 13, no. 10 (2020), p. [1-36]. ISSN 1999-4893. WoS, SCOPUS.

Q WoS=Q3 Q Scopus=Q3

ADM 007 TUSOR, Balázs a Annamária VÁRKONYINÉ KÓCZY. Fast Regular and Interval-based Classification, using parSITs. DOI 10.12700/APH.18.6.2021.6.6 Acta Polytechnica Hungarica : An international peer-reviewed scientific journal of Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section : journal of applied sciences. Vol. 18, no. 6 (2021), p. 107-125. ISSN 1785-8860. WoS, SCOPUS.

Q WoS=Q3 Q Scopus=Q2


AEC Külföldi recenzált tudományos tanulmánykötetekben, monográfiákban megjelent tudományos munkák
Bejegyzések száma: 3


AEC 001 TAR, József K., János F. BITÓ, Annamária VÁRKONYINÉ KÓCZY a Adrienn Alexandra DINEVA. Symbiosis of RFPT-based Adaptivity and the Modified Adaptive Inverse Dynamics Controller. In: Advances in Soft Computing, Intelligent Robotics and Control. Berlin: Springer, 2014, Vol. 8. ISBN 978-3-319-05944-0.

AEC 002 VÁRKONYINÉ KÓCZY, Annamária, Sándor HANCSICSKA a József BUKOR. Fuzzy information measure for improving HDR imaging. DOI 10.1007/978-3-319-32229-2_9 Studies in Fuzziness and Soft Computing. Vol. 342 (2016), p. 113-126. ISSN 1434-9922. WoS, SCOPUS. SNIP (2015): 0,132.

Hivatkozások:
2021  [1] KIRAN, B. R. - KUMARI, V. V. - RAJU, K. V. S. V. N. Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion. In Journal of Intelligent Systems. ISSN 0334-1860, 2021, vol. 30, no. 1, p. 346-360. WoS ; SCOPUS



AEC 003 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY, János TÓTH a Vincenzo PIURI. Non-conventional Control Design by Sigmoid Generated Fixed Point Transformation Using Fuzzy Approximation. DOI 10.1007/978-3-319-78437-3_1 In: Practical Issues of Intelligent Innovations. Vassil Sgurev, Vladimir Jotsov, Janusz Kacprzyk. Cham: Springer Nature, 2018, S. 1-15. ISBN 978-3-319-78436-6. SCOPUS.


AFC Külföldi tudományos konferencián publikált cikkek
Bejegyzések száma: 61


AFC 001 VÁRKONYI, Teréz A., Vincenzo PIURI, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Imre J. RUDAS. Agile online-trained neural network models by using Robust Fixed Point Transformations. DOI 10.1109/WISP.2013.6657481 In: 2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings. Budapest: IEEE, 2013, P. 48-53. ISBN 978-1-4673-4544-6. WoS, SCOPUS.

AFC 002 TÓTH-LAUFER, Edit a Annamária VÁRKONYINÉ KÓCZY. Anytime sport activity risk level calculation using HOSVD based hierarchical fuzzy models. DOI 10.1109/MeMeA.2013.6549756 In: MeMeA 2013 - IEEE International Symposium on Medical Measurement and Applications., Art. no. 6549756 (2013), p. 300-305. ISBN 978-146735-196-6. WoS, SCOPUS.

AFC 003 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a Adrienn Alexandra DINEVA. Determination of the complexity fitted model structure of Radial Basis Function Neural Networks. DOI 10.1109/INES.2013.6632818 In: INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems., Art. no . 6632818 (2013), p. 237-242. ISBN 978-1479-90828-8. SCOPUS.

AFC 004 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a Adrienn Alexandra DINEVA. Fuzzy approaches in anytime systems. INES 2013: IEEE 17th International Conference on Intelligent Engineering Systems: proceedings. P. 237-242. SCOPUS.

AFC 005 NAGY, István, Annamária VÁRKONYINÉ KÓCZY a Adrienn Alexandra DINEVA. GA optimization and parameter tuning at the mobile robot map building process. DOI 10.1109/ICCCyb.2013.6617613 In: ICCC 2013 - IEEE 9th International Conference on Computational Cybernetics, Proceedings., Art. no 6617613 (2013), p. 333-338. ISBN 978-1479-90063-3. SCOPUS.

Hivatkozások:
2014  [1] PUHEIM, M. - MADARÁSZ, L. Normalization of Inputs and Outputs of Neural Network Based Robotic Arm Controller in Role of Inverse Kinematic Model. In IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI). New York : IEEE, 2014. ISBN 978-1-4799-3442-3, p. 35-38. WoS ; SCOPUS

2013  [1] PUHEIM, M. - BUNDZEL, M. - MADARÁSZ, L. Forward Control of Robotic Arm Using the Information from Stereo-vision Tracking System. In 14th IEEE International Symposium on Computational Intelligence and Informatics (CINTI). New York : IEEE, 2013. ISBN 978-1-4799-0194-4, p. 57-62. WoS ; SCOPUS



AFC 006 VÁRKONYINÉ KÓCZY, Annamária, István NAGY, Edit TÓTH-LAUFER a Ingrid LANGER. Intelligent Space: New challenges in research and education. DOI 10.1109/INES.2013.6632841 INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. Art. no. 6632841 (2013), pp. 357-364. SCOPUS.

Hivatkozások:
2014  [1] MOLNAR, G. Modern ICT Baced Teaching and Learning Support Systems and Solutions in Higher Education Practice. In DIVAI 2014. Praha : Wolters Kluwer, 2014. ISBN 978-80-7478-497-2, p. 421-430. WoS

2007  [1] REKLAITIS, G. V. R. Perspectives on Process Systems Engineering R&D in Support of Pharmaceutical Product/Process Development and Manufacturing. In 17th European Symposium on Computer Aided Process Engineering. Amsterdam : Elsevier Science BV, 2007. ISBN 978-0-444-53157-5, p. 35-38. WoS

2006  [1] CACHA, L. A. Shifting gears: Dimensions of research and communication behavior in the sphere of academic freedom. In Proceedings of the Asia-Pacific Conference on Library & Information Education & Practice. Singapore: School of Communication & Information, Nanyang Technological University, 2006. p. 496-502. WoS



AFC 007 TÓTH-LAUFER, Edit a Annamária VÁRKONYINÉ KÓCZY. A personal profile based patient-specific anytime risk calculation model. DOI 10.1109/MeMeA.2014.6860085 In: IEEE MeMeA 2014: IEEE International Symposium on Medical Measurements and Applications, Proceedings. Lisbon, Portugal: IEEE, 2014, P. 1-6. ISBN 978-147992920-7. WoS, SCOPUS.

AFC 008 DINEVA, Adrienn Alexandra, Annamária VÁRKONYINÉ KÓCZY a József K. TAR. Wavelet-based technique for feedback control of uncertain systems - A case study. DOI 10.1109/CINTI.2013.6705206 In: CINTI 2013: 14th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. [s.l.]: [s.n.], 2013, Article number 6705206 (2013), p. 281-285. ISBN 978-147990197-5. WoS, SCOPUS.

AFC 009 TUSOR, Balázs, Márta TAKÁCS, Annamária VÁRKONYINÉ KÓCZY a János TÓTH. A fast fuzzy decision tree for color filtering. DOI 10.1109/WISP.2015.7139160 In: WISP 2015: IEEE International Symposium on Intelligent Signal Processing.: IEEE, 2015, P. [1-6]. ISBN 978-147997252-4. WoS, SCOPUS.

Hivatkozások:
2016  [1] ALTAY, A. - CINAR, D. Fuzzy Decision Trees. In Fuzzy Statistical Decision-Making: Theory and Applications. ISSN 1434-9922, 2016, vol. 343, p. 221-261. WoS ; SCOPUS



AFC 010 TUSOR, Balázs a Annamária VÁRKONYINÉ KÓCZY. A rule-based filter network for multiclass data classification. DOI 10.1109/I2MTC.2015.7151425 In: Conference Record - IEEE Instrumentation and Measurement Technology Conference. Pisa, Italy: Institute of Electrical and Electronics Engineers Inc, 2015, Volume 2015-July, 6 July 2015, Article number 7151425, p. 1102-1107. ISBN 978-147996113-9. SCOPUS. SNIP (2014): 0,281.

AFC 011 NAGY, Gabriella, Annamária VÁRKONYINÉ KÓCZY a János TÓTH. An Anytime Voice Controlled Ambient Assisted Living System for motion disabled persons. DOI 10.1109/MeMeA.2015.7145192 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings. Article number 7145192 (2015), p. 163-168. WoS, SCOPUS.

Hivatkozások:
2021  [1] KOGAWA, A. - ONDA, M. - KAI, Y. Development of a Remote-Controlled Drone System by Using Only Eye Movements: Design of a Control Screen Considering Operability and Microsaccades. In Journal of Robotics and Mechatronics. ISSN 0915-3942, 2021, vol. 33, no. 2, p. 301-312. WoS ; SCOPUS

2021  [1] KOGAWA, A. - ONDA, M. - KAI, Y. - et al. Development of a Remote-Controlled Drone System by Using Only Eye Movements for Bedridden Patients. In CISM International Centre for Mechanical Sciences, Courses and Lectures. ISSN 0254-1971, 2021, vol. 601, p. 92-99. SCOPUS

2018  [1] ADACHI, Y. - KAI, Y. - YUYAMA, T. -et al. A UAV System Using an Eye-Tracking Device for patients with limb disabilities: Design of its control screen. In 2018 57th annual conference of the society of instrument and control engineers of Japan (SICE). New York : Institute of electrical and electronics engineers Inc, 2018. ISBN 978-490776460-9, p. 854-859. WoS ; SCOPUS



AFC 012 DINEVA, Adrienn Alexandra, Annamária VÁRKONYINÉ KÓCZY a József K. TAR. Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression. DOI 10.1109/INES.2014.6909361 In: INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. New York: Institute of Electrical and Electronics Engineers Inc., 2014, 24 September (2014), Article number 6909361l, p. 163-168. ISBN 978-147994615-0. SCOPUS.

Hivatkozások:
2018  [1] RUSSO, F. On the Accuracy of Denoising Algorithms in Medical Imaging: A Case Study. In MeMeA 2018 - 2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings. Piscataway : Institute of Electrical and Electronics Engineers Inc., 2018. ISBN 978-153863391-5. SCOPUS



AFC 013 DINEVA, Adrienn Alexandra, Annamária VÁRKONYINÉ KÓCZY a József K. TAR. Improved denoising with robust fitting in the wavelet transform domain. DOI 10.1007/978-3-319-16766-4_19 In: IFIP Advances in Information and Communication Technology. Berlin: Springer, 2015, Vol. 450 (2015), p. 179-187. ISBN 978-331916765-7. SCOPUS.

AFC 014 BAKUCZ, Péter, József Zoltán SZABÓ a Annamária VÁRKONYINÉ KÓCZY. A non-iterative robust-Gaussian filtering algorithm for roughness measurements. DOI 10.1109/SACI.2015.7208172 In: SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. [s.l.]: IEEE, 2015, Art. no. 7208172 (2015), p. 69-72. ISBN 978-147999911-8. SCOPUS.

Hivatkozások:
2019  [1] HUANG, J. - ZHENG, H. - JIANG, L. -et al. Design of Gaussian filters based on odd and even functions used for non-closed circular profile. In Proceedings of SPIE - The international society for optical engineering. ISSN 0277-786X, vol. 11053, art. no. 110534K. SCOPUS



AFC 015 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Adaptive controller using fixed point transformation for regulating propofol administration through wavelet-based anesthetic value. DOI 10.1109/MeMeA.2016.7533813D In: 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings. [s.l.]: IEEE, 2016, Art. no. 7533813 (2016), p. 522-527. ISBN 978-146739172-6. SCOPUS.

Hivatkozások:
2018  [1] KUTI, J. - GALAMBOS, P. Tensor Product model based PID controller optimisation for propofol administration. In IFAC-PapersOnLine. ISSN 2405-8963, 2018, vol. 51, no. 4, p. 645-650. SCOPUS

2018  [1] MENDEZ, J. A. - LEON, A. - MARRERO, A. -et al. Improving the anesthetic process by a fuzzy rule based medical decision system. In Artifical intelligence in medicine. ISSN 0933-3657, vol. 84, p. 159-170. SCOPUS



AFC 016 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Adaptive controller using fuzzy modeling and Sigmoid Generated Fixed Point Transformation. DOI 10.1109/IS.2016.7737472 In: 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings. Piscataway, USA: IEEE, 2016, Art. no. 7737472, p. 522-527. ISBN 978-1-5090-1353-1. SCOPUS.

AFC 017 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a János TÓTH. Classification with fuzzy hypermatrices. In: Conference Record - IEEE Instrumentation and Measurement Technology Conference. [s.l.]: IEEE, 2016, Art. no. 7520502 (2016), p. 990-995. ISBN 978-146739220-4. WoS, SCOPUS. SNIP (2015): 0,439.

AFC 018 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a József BUKOR. Data classification based on fuzzy-RBF networks. DOI 10.1007/978-3-319-18416-6_65 Advances in Intelligent Systems and Computing. Vol. 357 (2016), p. 829-840. ISSN 2194-5357. SCOPUS. SNIP (2014): 0,154.

Hivatkozások:
2018  [1] KUMAR, R. - SRIVASTAVA, S. - GUPTA, J. R. P. Online modeling and adaptive control of robotic manipulators using Gaussian radial basis function networks. In Neural computing and applications. ISSN 0941-0643, vol. 30, no. 1, p. 223-239. SCOPUS



AFC 019 VÁRKONYINÉ KÓCZY, Annamária a János TÓTH. Improving color sensing by applying fuzzy information measurement based spectral power distribution filtering. DOI 10.1109/MeMeA.2016.7533812 In: 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings. [s.l.]: IEEE, 2016, Art. no 7533812 (2016), p. [1-6]. ISBN 978-146739172-6. WoS, SCOPUS.

AFC 020 DINEVA, Adrienn Alexandra, József K. TAR a Annamária VÁRKONYINÉ KÓCZY. Novel Generation of Fixed Point Transformation for the Adaptive Control of a Nonlinear Neuron Model. DOI 10.1109/SMC.2015.179 In: Proceedings . 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Kowloon Tong: IEEE, 2015, P. 987-992. ISBN 978-147998696-5. SCOPUS.

Hivatkozások:
2021  [1] FELDE, I. Simplified Computation of The Heat Transfer Coefficient in Quenching. In Acta Polytechnica Hungarica. ISSN 1785-8860, 2021, vol. 18, no. 10, p. 245-256. WoS ; SCOPUS



AFC 021 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Replacement of parameter tuning with simple calculation in adaptive control using "Sigmoid generated fixed point transformation". DOI 10.1109/SISY.2015.7325374 SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings. Article no. 7325374 (2015), p. 173-178. SCOPUS.

AFC 022 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Sigmoid generated fixed point transformation control scheme for stabilization of Kapitza's pendulum system. DOI 10.1109/INES.2016.7555122 In: INES 2016 - 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, Proceedings. Budapest: IEEE, 2016, Art. no. 7555122 (2016), p. 213-218. ISBN 978-150901216-9. SCOPUS.

AFC 023 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a János TÓTH. A Multi-attribute Classification Method to Solve the Problem of Dimensionality. DOI 10.1007/978-3-319-46490-9_54 In: Recent Global Research and Education: Technological Challenges. Berlin: Springer, 2017, P. 403-409. ISBN 978-3-319-46490-9. WoS, SCOPUS. SNIP (2015): 0,176.

AFC 024 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a János TÓTH. Active problem workspace reduction with a fast fuzzy classifier for real-time applications. DOI 10.1109/SMC.2016.7844927 In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Piscataway: IEEE, 2017, Article number 7844927, p. 4423-4428. ISBN 978-1-5090-1819-2. WoS, SCOPUS.

Hivatkozások:
2019  [1] IBARRA, L. - BALDERAS, D. - PONCE, P. -et al. Fast execution of black-bocx algorithms through a pice-wise linear interpolation technique. In Arabian journal for science and engineering. ISSN: 2193-567X, 2019, vol. 44, no. 11, p. 9443-9453. WoS



AFC 025 SIMON-NAGY, Gabriella a Annamária VÁRKONYINÉ KÓCZY. Distance Metric for Speech Commands of Dysarthric Users in Smart Home Systems. DOI 10.1007/978-3-319-46490-9_44 In: Recent Global Research and Education: Technological Challenges. Berlin: Springer, 2017, P. 325-330. ISBN 978-331946489-3. WoS, SCOPUS. SNIP (2015): 0,176.

AFC 026 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a Emil SEGATTO. Fuzzy logic supported 3D modeling based orthodontics. DOI 10.1109/MeMeA.2017.7985868 In: 2017 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017 - Proceedings. [s.l.]: IEEE, 2017, Art. no. 7985868 (2017), p. 159-164. ISBN 978-150902983-9. SCOPUS.

Hivatkozások:
2018  [1] TARABINI, M. - MARZAROLI, P. - CHADEFAUX, D. -et al. Measurement of the force exchanged by orthodontic masks and patients. In MeMeA 2018 - 2018 IEEE International symposium on medical measurements and applications, proceedings. Rým : IEEE, 2018. ISBN 978-1538633991-5. SCOPUS



AFC 027 MOSAVI, Amir a Annamária VÁRKONYINÉ KÓCZY. Integration of Machine Learning and Optimization for Robot Learning. DOI 10.1007/978-3-319-46490-9_47 In: Recent Global Research and Education: Technological Challenges. Berlin: Springer, 2017, P. 349-355. ISBN 978-331946489-3. WoS, SCOPUS. SNIP (2015): 0,176.

Hivatkozások:
2021  [1] SEO, W. - CHA, S. - KIM, Y. - et al. SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms. In ACM Transactions on Architecture and Code Optimization. ISSN 1544-3566, 2021, vol. 18, no. 4. WoS ; SCOPUS

2020  [1] ROMEO, L. - PETITTI, A. - MARANI, R. - et al. Internet of Robotic Things in Industry 4.0: Applications, Issues and Challenges. In 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020. New York : IEEE, 2020. ISBN 978-172815953-9, 2020, p. 177-182. WoS ; SCOPUS



AFC 028 DINEVA, Adrienn Alexandra, Annamária VÁRKONYINÉ KÓCZY, József K. TAR a Vincenzo PIURI. Performance Enhancement of Fuzzy Logic Controller Using Robust Fixed Point Transformation. DOI 10.1007/978-3-319-46490-9_55 In: Recent Global Research and Education: Technological Challenges. Berlin: Springer, 2017, P. 411-418. ISBN 978-3-319-46490-9. WoS, SCOPUS. SNIP (2015): 0,176.

Hivatkozások:
2021  [1] MILIAUSKAITÉ, J. - KALIBATIENE, D. Complexity in Data-Driven Fuzzy Inference Systems: Survey, Classification and Perspective. In Baltic Journal of Modern Computing. ISSN 2255-8942, 2021, vol. 8, no. 4, p. 572-596. WoS ; SCOPUS



AFC 029 TUSOR, Balázs, Gabriella SIMON-NAGY, János TÓTH a Annamária VÁRKONYINÉ KÓCZY. Personalized dietary assistant - An intelligent space application. DOI 10.1109/INES.2017.8118575 In: INES 2017 - IEEE 21st International Conference on Intelligent Engineering Systems, Proceedings. New York: IEEE, 2017, P. 27-32. ISBN 978-147997677-5. WoS, SCOPUS.

Hivatkozások:
2019  [1] MULLA, N. - KURHADE, S. - NAIK, M. -et al. An itelligent application for healthcare recommendation using fuzzy logic. In Proceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology. Piscataway : Institute of Electrical and Electronics Engineers Inc, 2019. ISBN 978-172810167-5, p. 466-472. SCOPUS



AFC 030 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a János TÓTH. Robust variable length data classification with extended sequential fuzzy indexing tables. DOI 10.1109/I2MTC.2017.7969971 In: I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings. Torino: IEEE, 2017, Art. no. 7969971 (2017), p.[1-6]. ISBN 978-150903596-0. WoS, SCOPUS.

AFC 031 TUSOR, Balázs, Annamária VÁRKONYINÉ KÓCZY a József BUKOR. A fast line extraction method based on basic segment grouping. DOI 10.1109/I2MTC.2018.8409852 In: I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings. Casey Henshaw. Piscataway: Institute of Electrical and Electronics Engineers, 2018, s. 1-6 [print]. ISBN 9781538622223. SCOPUS.

AFC 032 TUSOR, Balázs, Annamária VÁRKONYINÉ KÓCZY a János TÓTH. A fuzzy data structure for variable length data and missing value classification. DOI 10.1007/978-3-319-67459-9_37 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 297-304 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 033 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a János TÓTH. A fuzzy shape extraction method. DOI DOI 10.1007/978-3-319-75408-6_29 In: Studies in Fuzziness and Soft Computing. Janusz Kacprzyk. [s.l.]: Springer, 2018, Vol. 361 (2018), p. 383-395. DOI DOI 10.1007/978-3-319-75408-6_29. SCOPUS. SNIP (2018): 0,541.

AFC 034 MOUSAVI, Seyedmajid, Amir MOUSAVI a Annamária VÁRKONYINÉ KÓCZY. A load balancing algorithm for resource allocation in cloud computing. DOI 10.1007/978-3-319-67459-9_36 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 289-296 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 035 TUSOR, Balázs, Annamária VÁRKONYINÉ KÓCZY a József BUKOR. An iSpace-based Dietary Advisor. DOI 10.1109/MeMeA.2018.8438705 In: MeMeA 2018 - 2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings. Emanuele Piuzzi. Piscataway: IEEE Instrumentation and Measurement Society, 2018, S. 1035-1041. ISBN 978-15-3863-391-5. SCOPUS.

AFC 036 MOSAVI, Amir, Rami BENKREIF a Annamária VÁRKONYINÉ KÓCZY. Comparison of Euler-Bernoulli and Timoshenko beam equations for railway system dynamics. DOI 10.1007/978-3-319-67459-9_5 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 32-40 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 037 MOSAVI, Amir, Alvaro LOPEZ a Annamária VÁRKONYINÉ KÓCZY. Industrial applications of big data: State of the art survey. DOI 10.1007/978-3-319-67459-9_29 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 225-232 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

Hivatkozások:
2018  [1] PIERONI, A. - SCARPATO, N. - BRILLI, M. Industry 4.0 revolution in autonomous and connected vehicle a nonconventional approach to manage big data. In Journal of theoretical and applied information technology. ISSN 1992-8645, 2018, vol. 96, no. 1, p. 10-18. SCOPUS



AFC 038 BARANYAI, Marcell, Amir MOSAVI, István VAJDA a Annamária VÁRKONYINÉ KÓCZY. Optimal design of electrical machines: State of the art survey. DOI 10.1007/978-3-319-67459-9_27 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 209-216 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

Hivatkozások:
2020  [1] CREDO, A. - FABRI, G. - VILLANI, M. - et al. A Robust Design Methodology for Synchronous Reluctance Motors. In IEEE Transactions on Energy Conversion. ISSN 0885-8969, 2020, vol. 35, no. 4, p. 2095-2105. WoS ; SCOPUS



AFC 039 DINEVA, Adrienn Alexandra, Annamária VÁRKONYINÉ KÓCZY, Vincenzo PIURI a József K. TAR. Point cloud processing with the combination of fuzzy information measure and wavelets. DOI 10.1007/978-3-319-62521-8_39 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, S. 455-461. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 040 MOSAVI, Amir, Yatish BATHLA a Annamária VÁRKONYINÉ KÓCZY. Predicting the future using web knowledge: State of the art survey. DOI 10.1007/978-3-319-67459-9_42 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 341-349 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

Hivatkozások:
2018  [3] HAJIKHODAVERDIKHAN, P. - NAZARI, M. - MOHSENIZADEH, M. -et al. Earthquake prediction with meteorological data by particle filterbased support cector regression. In Engineering applications of computational fluid mechanics. ISSN 1994-2060, 2018, vol. 12, no. 1, p. 679-688.

2018  [3] MOAZENZADEH, R. - MOHAMMADI, B. - SHAMSHIRBAND, S. -et al. Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran. In Engineering applications of computational fluid mechanics. ISSN 1994-2060, 2018, vol. 12, no. 1, p. 584-597.



AFC 041 GOBOR, Zoltán, Péter ÓDRY a Annamária VÁRKONYINÉ KÓCZY. Preliminary Considerations in the Design of a Sensor for Improving the Reference Trajectory Calculation for the Individual Leg of a Hexapod. DOI 10.1109/SISY.2018.8524858 In: SISY 2018 : IEEE 16th International Symposium on Intelligent Systems and Informatics, 13. - 15. 9. 2018, Subotica, Serbia: IEEE 16th International Symposium on Intelligent Systems and Informatics, 13. - 15. 9. 2018, Subotica, Serbia. [s.l.]: Institute of Electrical and Electronics Engineers, 2018, S. 57-62. ISBN 978-1-5386-6841-2. WoS, SCOPUS.

AFC 042 MOSAVI, Amir, Rituraj RITURAJ a Annamária VÁRKONYINÉ KÓCZY. Review on the usage of the multiobjective optimization package of modeFrontier in the energy sector. DOI 10.1007/978-3-319-67459-9_28 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 217-224 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 043 MOSAVI, Amir, Timon RABCZUK a Annamária VÁRKONYINÉ KÓCZY. Reviewing the novel machine learning tools for materials design. DOI 10.1007/978-3-319-67459-9_7 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 50-58 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 044 DINEVA, Adrienn Alexandra, Balázs TUSOR, Peter CSIBA a Annamária VÁRKONYINÉ KÓCZY. Robot control in ispace by applying weighted likelihood function. DOI 10.1007/978-3-319-67459-9_31 In: Advances in Intelligent Systems and Computing : Recent Advances in Technology Research and Education: Recent Advances in Technology Research and Education. Dumitru Luca, Lucel Sirghi, Claudiu Costin. Cham: Springer International Publishing AG, 2018, s. 243-248 [print]. ISBN 978-33-19674-58-2. DOI DOI 10.1007/978-3-319-67459-9. SCOPUS.

AFC 045 TORABI, Mehmoosh, Amir MOSAVI, Pinar OZTURK, Annamária VÁRKONYINÉ KÓCZY a István VAJDA. A Hybrid Machine Learning Approach for Daily Prediction of Solar Radiation. DOI 10.1007/978-3-319-99834-3_35 In: Recent advances in technology research and education : proceedings of the 17th international conference on global research and education: proceedings of the 17th international conference on global research and education. Giedrius Laukaitis. Cham: Springer Nature, 2019, P. 266-275. ISBN 978-3-319-99833-6. SCOPUS.

AFC 046 TUSOR, Balázs, Annamária VÁRKONYINÉ KÓCZY a József BUKOR. A Parallel Fuzzy Filter Network for Pattern Recognition. DOI 10.1007/978-3-319-99834-3_36 In: Recent advances in technology research and education : proceedings of the 17th international conference on global research and education: proceedings of the 17th international conference on global research and education. Giedrius Laukaitis. Cham: Springer Nature, 2019, P. 275-282. ISBN 978-3-319-99833-6. SCOPUS.

AFC 047 TUSOR, Balázs, Annamária VÁRKONYINÉ KÓCZY a József BUKOR. Fuzzy Lookup Tables in Classification. In: WConsC 2018, 7th World Conference on Soft Computing. Berlin: Springer, 2018, P. [1-6].

AFC 048 TUSOR, Balázs, József BUKOR a Annamária VÁRKONYINÉ KÓCZY. Parallelized fuzzy RBF and FHM based color filtering for real-time image processing. DOI 10.1109/I2MTC.2019.8826831 In: 2019 International Instrumentation and Measurement Technology Conference. [bez zostavovateľa]. Auckland: Institute of Electrical and Electronics Engineers, 2019, s. 1-6. ISBN 978-15-38634-60-8. WoS, SCOPUS.

AFC 049 ARDABILI, Sina Faizollahzadeh, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods. DOI 10.1007/978-3-030-36841-8_21 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 215-227 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 050 TUSOR, Balázs, János TÓTH a Annamária VÁRKONYINÉ KÓCZY. Approximate Functional Dependency Mining with Sequential Indexing Tables. DOI 10.1109/CINTI-MACRo49179.2019.9105179 In: IEEE Joint CINTI-MACRo 2019 : IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7 th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics: IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7 th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics. [bez zostavovateľa]. Szeged: Institute of Electrical and Electronics Engineers, 2019, P. 119-124. ISBN 978-17-28156-25-5. WoS, SCOPUS.

AFC 051 ARDABILI, Sina Faizollahzadeh, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Building Energy Information: Demand and Consumption Prediction with Machine Learning Models for Sustainable and Smart Cities. DOI 10.1007/978-3-030-36841-8_19 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 191-201 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 052 ARDABILI, Sina Faizollahzadeh, Amir MOSAVI, Majid DEHGHANI a Annamária VÁRKONYINÉ KÓCZY. Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review. DOI 10.1007/978-3-030-36841-8_5 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 52-64 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 053 TUSOR, Balázs, János TÓTH a Annamária VÁRKONYINÉ KÓCZY. Functional Dependency Detection with Sequential Indexing Tables. DOI 10.1109/INES46365.2019.9109488 In: INES 2019 : 23rd International Conference on Intelligent Engineering Systems: 23rd International Conference on Intelligent Engineering Systems. [bez zostavovateľa]. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, 2019, s. 307-312 [print]. ISBN 978-1-7281-1213-8. WoS, SCOPUS.

AFC 054 MOSAVI, Amir, Sina Faizollahzadeh ARDABILI a Annamária VÁRKONYINÉ KÓCZY. List of Deep Learning Models. DOI 10.1007/978-3-030-36841-8_20 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 202-214 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 055 TUSOR, Balázs a Annamária VÁRKONYINÉ KÓCZY. Memory Efficient Exact and Approximate Functional Dependency Extraction with ParSIT. DOI 10.1109/INES49302.2020.9147187 In: INES 2020 - IEEE 24th International Conference on Intelligent Engineering Systems. [bez zostavovateľa]. [s.l.]: Institute of Electrical and Electronics Engineers, 2020, P. 133-138. ISBN 978-17-28110-59-2. WoS, SCOPUS.

AFC 056 ARDABILI, Sina Faizollahzadeh, Amir MOSAVI, Asghar MAHMOUDI, Tarahom Mestri GUNDOSHMIAN, Saeed NOSTRATABADI a Annamária VÁRKONYINÉ KÓCZY. Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks. DOI 10.1007/978-3-030-36841-8_3 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 33-45 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 057 TUSOR, Balázs, János TÓTH a Annamária VÁRKONYINÉ KÓCZY. Parallelized sequential indexing tables for fast high-volume data processing. DOI 10.1109/I2MTC43012.2020.9128637 In: I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings. [bez zostavovateľa]. Dubrovnik: IEEE Instrumentation and Measurement Society, 2020, P. [1-6]. ISBN 9781728144603. SCOPUS.

AFC 058 GUNDOSHMIAN, Tarahom Mestri, Sina Faizollahzadeh ARDABILI, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology. DOI 10.1007/978-3-030-36841-8_34 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 345-360 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 059 ARDABILI, Sina Faizollahzadeh, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research. DOI 10.1007/978-3-030-36841-8_2 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 19-32 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.

AFC 060 BENHAMIDA, Abdallah, Annamária VÁRKONYINÉ KÓCZY a Miklós KOZLOVSZKY. Traffic Signs Recognition in a mobile-based application using TensorFlow and Transfer Learning technics. DOI 10.1109/SoSE50414.2020.9130519 In: 2020 IEEE 15th International Conference of System of Systems Engineering. [bez zostavovateľa]. Budapešť: IEEE Biometrics Council, 2020, P. 537-541. ISBN 978-1-7281-8050-2. WoS, SCOPUS.

AFC 061 MOHAMMADZADEH, Danial, Nader KARBALLAEEZADEH, Morteza MOHEMMI, Amir MOSAVI a Annamária VÁRKONYINÉ KÓCZY. Urban Train Soil-Structure Interaction Modeling and Analysis. DOI 10.1007/978-3-030-36841-8_35 In: Engineering for Sustainable Future : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Várkonyi-Kóczy Annamária R.. Cham: Springer Nature, 2020, s. 361-381 [print]. ISBN 978-3-030-36840-1. WoS, SCOPUS.


AFD Hazai tudományos konferencián publikált cikkek
Bejegyzések száma: 7


AFD 001 DINEVA, Adrienn Alexandra, Annamária VÁRKONYINÉ KÓCZY a József K. TAR. Combination of RFPT-based adaptive control and classical model identification. DOI 10.1109/SAMI.2014.6822401 In: SAMI 2014: IEEE 12th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. [s.l.]: IEEE Computer Society, 2014, Article number 6822401 (2014), p. 173-178. ISBN 978-147993442-3. SCOPUS.

AFD 002 VÁRKONYINÉ KÓCZY, Annamária, Balázs TUSOR a János TÓTH. A fuzzy hypermatrix-based skin color filtering method. DOI 10.1109/INES.2015.7329701 INES 2015 - IEEE 19th International Conference on Intelligent Engineering Systems, Proceedings. Article no 7329701 (2015), p. 173-178. WoS, SCOPUS.

Hivatkozások:
2019  [1] IBARRA, L. - BALDERAS, D. - PONCE, P. -et al. Fast execution of black-bocx algorithms through a pice-wise linear interpolation technique. In Arabian journal for science and engineering. ISSN: 2193-567X, 2019, vol. 44, no. 11, p. 9443-9453. WoS



AFD 003 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Adaptive control of underactuated mechanical systems using improved "sigmoid Generated Fixed Point Transformation" and scheduling strategy. DOI 10.1109/SAMI.2016.7423006 In: SAMI 2016 - IEEE 14th International Symposium on Applied Machine Intelligence and Informatics - Proceedings. Budapest: IEEE, 2016, Article no. 7423006, p. 193-197. ISBN 978-146738740-8. SCOPUS.

AFD 004 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Generalization of a sigmoid generated Fixed Point Transformation from SISO to MIMO systems. DOI 10.1109/INES.2015.7329694 In: INES 2015 - IEEE 19th International Conference on Intelligent Engineering Systems, Proceedings. Budapest: IEEE, 2015, Article no. 7329694 (2015), p. 135-140. ISBN 978-146737939-7. SCOPUS.

AFD 005 DINEVA, Adrienn Alexandra, József K. TAR, Annamária VÁRKONYINÉ KÓCZY a Vincenzo PIURI. Application of fixed point transformation to classical model identification using new tuning rule. DOI 10.1109/SAMI.2017.7880315 In: SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Piscataway: IEEE, 2017, P. 265-270. ISBN 978-150905654-5. WoS, SCOPUS.

AFD 006 RITURAJ, Rituraj a Annamária VÁRKONYINÉ KÓCZY. Advantages of Anytime Algorithm for Multi-Objective Query Optimization. DOI 10.1109/SAMI48414.2020.9108713 In: IEEE 18th World Symposium on Applied Machine Intelligence and Informatics : proceedings: proceedings. [bez zostavovateľa]. Danvers: Institute of Electrical and Electronics Engineers, 2020, [USB-key], s. 141-144. ISBN 978-1-7281-3149-8. SCOPUS.

AFD 007 TUSOR, Balázs, Ondrej TAKÁČ, András MOLNÁR, Štefan GUBO a Annamária VÁRKONYINÉ KÓCZY. Shape Recognition in Drone Images Using Simplified Fuzzy Indexing Tables. DOI 10.1109/SAMI48414.2020.9108735 In: IEEE 18th World Symposium on Applied Machine Intelligence and Informatics : proceedings: proceedings. [bez zostavovateľa]. Danvers: Institute of Electrical and Electronics Engineers, 2020, [USB-key], s. 129-134. ISBN 978-1-7281-3149-8. WoS, SCOPUS.


BDM A Web of Science vagy SCOPUS adatbázisban jegyzett külföldi folyóiratokban megjelent szakcikkek
Bejegyzések száma: 1


BDM 001 BALAS, Valentina Emilia, János FODOR a Annamária VÁRKONYINÉ KÓCZY. Preface. Studies in Computational Intelligence. Vol. 417 (2013), p. V-VIII. ISSN 1860-949X. SCOPUS. SNIP (2013): 0,427.


BEE Külföldi tanulmánykötetekben megjelent szakmai munkák (konferencia és nem konferencia)
Bejegyzések száma: 2


BEE 001 VÁRKONYINÉ KÓCZY, Annamária, Sándor HANCSICSKA a József BUKOR. Fuzzy Information Measure for Improving HDR Imaging. In: 4th World Conference on Soft Computing. Berkeley, USA: University of California at Berkeley, 2014, P. 491-497.

BEE 002 BALAS, Valentina Emilia, János FODOR, Annamária VÁRKONYINÉ KÓCZY, József DOMBI a Lakhmi C. JAIN. Preface. DOI 10.1007/978-3-642-33941-7 In: Soft Computing Applications: Proceedings of the 5th International Workshop Soft Computing Applications., p. V-VI. ISBN 978-3-642-33940-0. SCOPUS. SNIP (2014): 0,376.


FAI Könyv jellegű szerkesztői munkák
Bejegyzések száma: 1


FAI 001 VÁRKONYINÉ KÓCZY, Annamária. Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. 1. vyd. Cham: Springer Nature, 2020. 385 s. ISBN 978-3-030-36840-1.





Skupina A1 - Knižné publikácie charakteru vedeckej monografie (AAA, AAB, ABA, ABB, ABC, ABD)

Počet výstupov: 0


Skupina A2 - Ostatné knižné publikácie (ACA, ACB, BAA, BAB, BCB, BCI, CAA, CAB, EAI, EAJ, FAI)

Počet výstupov: 1

FAI Zostavovateľské práce knižného charakteru (bibliografie, encyklopédie, katalógy, slovníky, zborníky, atlasy...) (1)


Skupina B - Publikácie v karentovaných časopisoch alebo registrované vo WoS a Scopus (ADC, ADD, BDC, BDD, CDC, CDD, ADM, ADN, BDM, BDN)

Počet výstupov: 13

ADC Vedecké práce v zahraničných karentovaných časopisoch (10)

ADM Vedecké práce v zahraničných časopisoch registrovaných v databázach Web of Science alebo SCOPUS (3)


Skupina P - Patenty (AGJ)

Počet výstupov: 0


Skupina D - Ostatné sledované publikácie (ACC, ACD, ADE, ADF, AEC, AED, AEG, AEH, AFA, AFB, AFC, AFD, AFE, AFF, AFG, AFH, AEM, AEN, BBA, BBB, BCK, BDA, BDB, BDE, BDF, BEE, BEF, BFA, BFB, CBA, CBB, CDE, CDF)

Počet výstupov: 35

AEC Vedecké práce v zahraničných recenzovaných vedeckých zborníkoch, monografiách (3)

AFC Publikované príspevky na zahraničných vedeckých konferenciách (30)

AFD Publikované príspevky na domácich vedeckých konferenciách (2)


Skupina O - Iné, nesledované publikácie (AFK, AFL, AGI, CAI, CAJ, CEC, CED, CGC, CGD, CIA, CIB, CJA, CJB, CKA, CKB, DAI, EDI, EDJ, GAI, GHG, GII)

Počet výstupov: 0


Ostatné - mimo kategórií MŠSR

Počet výstupov: 8

V2 Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka (4)

V3 Vedecký výstup publikačnej činnosti z časopisu (4)


Počet výstupov spolu: 57


Štatistika ohlasov s kategóriou podľa Vyhlášky č. 456/2012 Z. z: počet ohlasov: 123

Citácie v zahraničných publikáciách registrované v citačných indexoch Web of Science a v databáze SCOPUS: počet ohlasov: 123


Štatistika ohlasov s kategóriou podľa Vyhlášky č. 397/2020 Z. z: počet ohlasov: 541

Citácia v publikácii registrovaná v citačných indexoch: počet ohlasov: 541


Štatistika ohlasov: počet ohlasov: 664



Menný zoznam publikácií:


V2 Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka

Počet výstupov: 4


V2_001 Tabrizchi, Hamed, Mosavi, Amir, Vamossy, Zoltan, Várkonyiné Kóczy, Annamária. Densely connected convolutional networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging. DOI 10.1109/MeMeA52024.2021.9478715 In: 2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021 - Conference Proceedings. Lausanne: IEEE, 2021, art. no. 9478715, s. [1-6]. ISBN 9781665419147. [angličtina]


V2_002 Rituraj, Rituraj, Várkonyiné Kóczy, Annamária. Load Frequency Control Analysis of PV System Using PID and ANFC Controller [elektronický dokument]. DOI 10.1109/INES52918.2021.9512913 In: INES 2021: 2021 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS. Budapest: IEEE, 2021, art. no. 9512913, s. 195-200. ISBN (online) 978-1-6654-4499-6. ISSN 1562-5850. [angličtina]


V2_003 Tusor, Balázs, Tóth, János, Várkonyiné Kóczy, Annamária. Intelligent Pantry: A Low Cost Smart Storage Manager for Food Spoilage Prevention. DOI 10.1007/978-981-19-0379-3_10 In: Research and Education: Traditions and Innovations: Proceedings of the 19th International Conference on Global Research and Education (Inter-Academia 2021). Singapur: Springer Nature. Springer, 2022, s. 91-101. ISBN 9789811903786. [angličtina]


V2_004 Várkonyiné Kóczy, Annamária, Tusor, Balázs, Tóth, János. A Multi-attribute Classification Method to Solve the Problem of Dimensionality. DOI 10.1007/978-3-319-46490-9_54 In: Recent Global Research and Education: Technological Challenges: Proceedings of the 15th International Conference on Global Research and Education Inter-Academia 2016. Berlin: Springer Verlag, 2017, s. 403-409. ISBN 978-3-319-46490-9. [angličtina]


Ohlasy:

2022 [01] Al-atar, Munqath, Sali, Attila. Approximate keys and functional dependencies in incomplete databases with limited domains [elektronický dokument]. DOI 10.1007/978-3-031-11321-5_9 In: Foundations of Information and Knowledge Systems: International Symposium on Foundations of Information and Knowledge Systems. [s.l.]: Springer Nature. Springer Science+Business Media, 2022, s. 147-167. ISBN 9783031113208. ISSN 03029743. ISSN (online) 16113349. [angličtina]


V3 Vedecký výstup publikačnej činnosti z časopisu

Počet výstupov: 4


V3_001 Tian, Man-Wen, Mohammadzadeh, Ardashir, Tavoosi, Jafar, Mobayen, Saleh, Asad, Jihad H., Castillo, Oscar, Várkonyiné Kóczy, Annamária. A Deep-learned Type-3 Fuzzy System and Its Application in Modeling Problems [elektronický dokument] In: Acta Polytechnica Hungarica: An international peer-reviewed scientific journal of Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section: journal of applied sciences. Budapešt: Óbudai Egyetem, 2022, Roč. 19, č. 2, 151-172 [tlačená forma] [online]. ISSN 1785-8860. ISSN (online) 2064-2687. [angličtina]


V3_002 Várkonyiné Kóczy, Annamária. A Recursive Fast Fourier Transformation Algorithm [elektronický dokument]. DOI 10.1109/82.466641 In: IEEE Transactions on Circuits and Systems II: Express Briefs: a Publication of the IEEE Circuits and Systems Society. Piscataway: Institute of Electrical and Electronics Engineers, 1995, Roč. 42, č. 9, s. 614-616 [tlačená forma]. ISSN 1057-7130. ISSN (online) 1558-3791. [angličtina]


Ohlasy:

2021 [01] Cao, Zhaoyang, Kong, Xuan, Zhu, Qiang, Cao, Siying, Peng, Zhenming. Infrared dim target detection via mode-k<inf>1</inf>k<inf>2</inf> extension tensor tubal rank under complex ocean environment [elektronický dokument]. DOI 10.1016/j.isprsjprs.2021.09.007 In: ISPRS Journal of Photogrammetry and Remote Sensing: Official Publication of the International Society for Photogrammetry and Remote Sensing (ISPRS). Amsterdam: Elsevier, 2021, Roč. 181, s. 167-190. ISSN 0924-2716. ISSN (online) 1872-8235


2020 [01] Gao-Xiang, Xing, Tian-Qi, Yin. High efficient real-time calculation method of here large FFT with high overlapping rate [elektronický dokument]. DOI 10.1088/1742-6596/1607/1/012081 In: Journal of Physics: Conference Series. London: Institute of Physics Publishing, 2020. ISSN 17426588. ISSN (online) 17426596


2019 [01] Xing, Gaoxiang, Yao, Zhixiang. Real Time Recursive Very Large FFT on Multicore DSP Platforms. DOI 10.1109/CISP-BMEI48845.2019.8966003 In: Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019. Piscataway: Institute of Electrical and Electronics Engineers, 2019. ISBN 9781728148526


2018 [01] Li, Jun, Li, Jun, Zhao, Xunbo, Wang, Xuewei, Wang, Yingchun, Wang, Qi. DFT interpolation using a non-integer delayed bandpass filter. DOI 10.13543/j.bhxbzr.2018.04.016 In: Beijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition). Beijing: Beijing University of Chemical Technology, 2018, Roč. 45, č. 4, s. 86-93. ISSN 16714628


2016 [01] Bahtat, Mounir, Belkouch, Said, Elleaume, Philippe, Le Gall, Philippe. Instruction scheduling heuristic for an efficient FFT in VLIW processors with balanced resource usage [elektronický dokument]. DOI 10.1186/s13634-016-0336-0 In: Eurasip Journal on Advances in Signal Processing. New York: Springer Nature. Springer International Publishing AG, 2016, Roč. 2016, č. 1. ISSN 16876172. ISSN (online) 16876180


2015 [01] Boussaid, Abdlfettah, Nemmour, Ahmed Lokmane, Louze, Lamri, Khezzar, Abdelmalek. A novel strategy for shunt active filter control. DOI 10.1016/j.epsr.2015.02.008 In: Electric power systems research: an international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric power. Amsterdam: Elsevier, 2015, Roč. 123, s. 154-163 [tlačená forma]. ISSN 0378-7796


2014 [01] Chen, Li Bing, Shi, Li Ping, Xia, Zheng Long, Wang, Pan Pan. A reference current detection method based on synchronous reference frame transformation and DFT for SVG In: Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control. Beijing: Power System Protection and Control Press, 2014, Roč. 42, č. 13, s. 21-27. ISSN 16743415


2012 [01] Algnabi, Yazan Samir, Aldaamee, Furat A., Teymourzadeh, Rozita, Othman, Masuri, Islam, Md Shabiul. Novel architecture of pipeline Radix 2<sup>2</sup> SDF FFT Based on digit-slicing technique. DOI 10.1109/SMElec.2012.6417188 In: 2012 10th IEEE International Conference on Semiconductor Electronics, ICSE 2012 - Proceedings. New York: Institute of Electrical and Electronics Engineers, 2012, s. 470-474. ISBN 9781467323963


2011 [01] Yu, Yu Hsiang, Sun, Tsung Ying. Pseudo-Radix FFT for multi-core embedded platform. DOI 10.1109/ISCE.2011.5973843 In: Proceedings of the International Symposium on Consumer Electronics, ISCE. Piscataway: IEEE, 2011, s. 331-334. ISBN 9781612848433


2010 [01] Algnabi, Yazan Samir, Teymourzadeh, Rozita. The effect of the digit slicing architecture on the FFT Butterfly. DOI 10.1109/ISSPA.2010.5605507 In: 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. New York: IEEE, 2010, s. 802-805. ISBN 9781424471676


2010 [01] Zarandy, Akos, Foldesy, Peter, Carmona, Ricardo, Rekeczky, Csaba, Bean, Jeffrey A., Porod, Wolfgang. Cellular multi-core processor carrier chip for nanoantenna integration and experiments. DOI 10.1007/978-1-4419-1011-0_7 In: Cellular Nanoscale Sensory Wave Computing. New York: Springer Publishing Company, 2010, s. 147-162. ISBN 9781441910103


2009 [01] Marti-Puig, Pere, Reig Bolaño, Ramon. Radix-4 FFT algorithms with ordered input and output data. DOI 10.1109/ICDSP.2009.5201151 In: DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings. New York: IEEE, 2009. ISBN 9781424432981


2009 [01] Sun, Tsung Ying, Yu, Yu Hsiang. Memory usage reduction method for FFT implementations on DSP based embedded system. DOI 10.1109/ISCE.2009.5156962 In: Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Piscataway: IEEE, 2009, s. 812-815. ISBN 9781424429769. ISSN 0747668X


2009 [01] Marti-Puig, Pere. Two families of radix-2 FFT algorithms with ordered input and output data [elektronický dokument]. DOI 10.1109/LSP.2008.2003993 In: IEEE Signal Processing Letters: a Publication of the IEEE Signal Processing Society. New York: Institute of Electrical and Electronics Engineers. IEEE Signal Processing Society, 2009, Roč. 16, č. 2, s. 65-68 [tlačená forma]. ISSN 1070-9908. ISSN (online) 1558-2361


2008 [01] Hsu, Yi Pin, Lin, Shin Yu. Implementation of low-memory reference FFT on digital signal processor [elektronický dokument] In: Journal of computer science. Dubai: Science Publications, 2008, Roč. 4, č. 9, s. 697-701. ISSN 1549-3636. ISSN (online) 1552-6607


2008 [01] Hsu, Yi Pin, Lin, Shin Yu. Implementation of low-memory reference FFT on digital signal processor [elektronický dokument]. DOI 10.3844/jcssp.2008.545.549 In: Journal of computer science. Dubai: Science Publications, 2008, Roč. 4, č. 7, s. 547-551. ISSN 1549-3636. ISSN (online) 1552-6607


2007 [01] Li, Min, Bougard, Bruno, Lopez-Estraviz, Eduardo, Bourdoux, Andre, Van Der Perre, Liesbet, Catthoor, Francky. The quality-energy scalable OFDMA modulation for low power transmitter and VLIW processor based implementation. DOI 10.1109/GLOCOM.2007.548 In: GLOBECOM - IEEE Global Telecommunications Conference. New York: IEEE, 2007, s. 2894-2898. ISBN 1424410436. ISBN 9781424410439


2007 [01] Wang, Yuke, Tang, Yiyan, Jiang, Yingtao, Chung, Jin Gyun, Song, Sang Seob, Lim, Myoung Seob. Novel memory reference reduction methods for FFT implementations on DSP processors. DOI 10.1109/TSP.2007.892722 In: IEEE Transactions on Signal Processing: a Publication of the IEEE Signal Processing Society. Piscataway: IEEE, 2007, Roč. 55, č. 5 II, s. 2338-2349 [tlačená forma]. ISSN 1053-587X


2006 [01] Malik, Mohammad Bilal, Hakeem, Mohammad Umar, Ghazi, Imran, Hassan, Ata Ul Basit. Recursive least squares spectrum estimation. DOI 10.1109/ISIE.2006.295527 In: IEEE International Symposium on Industrial Electronics. New York: IEEE, 2006, s. 599-602. ISBN 1424404975. ISBN 9781424404971


2004 [01] Tang, Yiyan, Wang, Yuke, Chung, Jin Gyun, Song, Sang Seob, Lim, Myoung Seob. High-speed assembly FFT implementation with memory reference reduction on DSP processors In: 11th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2004. Piscataway: IEEE, 2004, s. 547-550. ISBN 0780387155


2003 [01] Tang, Yiyan, Qian, Lie, Wang, Yuke, Savaria, Yvon. A new memory reference reduction method for FFT implementation on DSP In: Proceedings - IEEE International Symposium on Circuits and Systems. Piscataway: IEEE, 2003. ISSN 02714310


2003 [01] Rechka, Sanae, Ngandui, Éloi, Xu, Jianhong, Sicard, Pierre. Analysis of harmonic detection algorithms and their application to active power filters for harmonics compensation and resonance damping. DOI 10.1109/CJECE.2003.1426073 In: Canadian Journal of Electrical and Computer Engineering. Piscataway: IEEE, 2003, Roč. 28, č. 1, s. 41-51. ISSN 08408688


2002 [01] Jiang, Yingtao, Zhou, Ting, Tang, Yiyan, Wang, Yuke. Twiddle-factor-based FFT algorithm with reduced memory access. DOI 10.1109/IPDPS.2002.1015572 In: Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002. Washington: Institute of Electrical and Electronics Engineers. IEEE Computer Society, 2002, s. 653-660. ISBN 0769515738. ISBN 9780769515731


2002 [01] Tang, Yiyan, Jiang, Yingtao, Wang, Yuke. Reduce FFT memory reference for low power applications. DOI 10.1109/ICASSP.2002.5745331 In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Piscataway: IEEE, 2002, Roč. 3, s. 3204-3207. ISSN 15206149


2000 [01] Mariscotti, Andrea. Discussion ona “Power Quality Indices for Aperiodic Voltage and Currents” [elektronický dokument]. DOI 10.1109/61.891549 In: IEEE Transactions on Power Delivery. Piscataway: Institute of Electrical and Electronics Engineers, 2000, Roč. 15, č. 4, s. 1333-1334. ISSN 08858977. ISSN (online) 19374208


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2017 [01] Qi, Jing, Xu, Kun, Ding, Xilun. Vision-Based Hand Gesture Recognition for Human-Robot Interaction: A Review. DOI 10.13973/j.cnki.robot.2017.0565 In: Jiqiren/Robot. Beijing: Chinese Academy of Sciences, 2017, Roč. 39, č. 4, s. 565-584. ISSN 10020446


2017 [01] Liu, Honghai, Ju, Zhaojie, Ji, Xiaofei, Chan, Chee Seng, Khoury, Mehdi. Introduction. DOI 10.1007/978-3-662-53692-6_1 In: Studies in Computational Intelligence. Berlin: Springer Publishing Company, 2017, s. 1-34. ISSN 1860949X


2016 [01] Badi, Haitham, Fadhel, Mohammed, Sabry, Sana, Jasem, Mohamed. RETRACTED ARTICLE: A survey on human–computer interaction technologies and techniques [elektronický dokument]. DOI 10.1007/s41060-016-0018-x In: International Journal of Data Science and Analytics. London: Springer Publishing Company, 2016, Roč. 2. ISSN 2364415X. ISSN (online) 23644168


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2016 [01] Gupta, Hari Prabhat, Chudgar, Haresh S., Mukherjee, Siddhartha, Dutta, Tanima, Sharma, Kulwant. A Continuous Hand Gestures Recognition Technique for Human-Machine Interaction Using Accelerometer and Gyroscope Sensors [elektronický dokument]. DOI 10.1109/JSEN.2016.2581023 In: IEEE Sensors Journal: a Publication of the IEEE Sensors Council. New York: Institute of Electrical and Electronics Engineers. IEEE Sensors Council, 2016, Roč. 16, č. 16, s. 6425-6432 [tlačená forma] [online]. ISSN 1530-437X. ISSN 2379-9153. ISSN (online) 1558-1748


2016 [01] Pham, Trieu H., Pathirana, Pubudu N., Fay, Pearse, Evans, Robin. Quantification of the Finger Functional Range via Explicit Descriptions of Reachable Subspaces [elektronický dokument]. DOI 10.1109/TIM.2016.2518360 In: IEEE Transactions on Instrumentation and Measurement: a Publication of the IEEE Instrumentation and Measurement Society. Piscataway: Institute of Electrical and Electronics Engineers, 2016, Roč. 65, č. 6, s. 1412-1422 [tlačená forma]. ISSN 0018-9456. ISSN (online) 1557-9662


2016 [01] Du, Guanglong, Zhang, Ping. A novel human-manipulators interface using hybrid sensors with Kalman filter and particle filter [elektronický dokument]. DOI 10.1016/j.rcim.2015.10.007 In: Robotics and computer integrated manufacturing: an international journal of manufacturing and product and process development. Amsterdam: Elsevier B.V., 2016, Roč. 38, s. 93-101 [tlačená forma]. ISSN 0736-5845. ISSN (online) 1879-2537


2016 [01] Plouffe, Guillaume, Cretu, Ana Maria. Static and dynamic hand gesture recognition in depth data using dynamic time warping [elektronický dokument]. DOI 10.1109/TIM.2015.2498560 In: IEEE Transactions on Instrumentation and Measurement: a Publication of the IEEE Instrumentation and Measurement Society. Piscataway: Institute of Electrical and Electronics Engineers, 2016, Roč. 65, č. 2, s. 305-316 [tlačená forma]. ISSN 0018-9456. ISSN (online) 1557-9662


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2015 [01] Lim, Chern Hong, Vats, Ekta, Chan, Chee Seng. Fuzzy human motion analysis: A review. DOI 10.1016/j.patcog.2014.11.016 In: Pattern recognition: the journal of the Pattern Recognition Society. Oxford: Elsevier, 2015, Roč. 48, č. 5, s. 1773-1796 [tlačená forma]. ISSN 0031-3203


2015 [01] Abid, Muhammad Rizwan, Petriu, Emil M., Amjadian, Ehsan. Dynamic sign language recognition for smart home interactive application using stochastic linear formal grammar [elektronický dokument]. DOI 10.1109/TIM.2014.2351331 In: IEEE Transactions on Instrumentation and Measurement: a Publication of the IEEE Instrumentation and Measurement Society. Piscataway: Institute of Electrical and Electronics Engineers, 2015, Roč. 64, č. 3, s. 596-605 [tlačená forma]. ISSN 0018-9456. ISSN (online) 1557-9662


2015 [01] Zhang, Ping, Du, Guanglong, Liang, Bin, Wang, Xueqian. Human-Manipulator interface using hybrid sensors via CMAC for dual robots [elektronický dokument]. DOI 10.15837/ijccc.2015.2.987 In: International Journal of Computers, Communications & Control: With Emphasis on the Integration of Three Technologies. Oradea: International Journal of Computers, Communications & Control, 2015, Roč. 10, č. 2, s. 280-290 [tlačená forma]. ISSN 1841-9836. ISSN (online) 1841-9844


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2014 [01] Chan, Kit Yan, Dillon, Tharam S. Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models. DOI 10.1109/IJCNN.2014.6889374 In: Proceedings of the International Joint Conference on Neural Networks. New York: IEEE, 2014, s. 35-41. ISBN 9781479914845


2014 [01] Badi, Haitham, Abdul-Kareem, Sameem. Human–computer interaction using vision-based hand gesture recognition systems: A survey [elektronický dokument]. DOI 10.1007/s00521-013-1481-0 In: Neural Computing and Applications. Berlín: Springer Nature. Springer International Publishing AG, 2014, Roč. 25, č. 2, s. 251-261 [tlačená forma] [online]. ISSN 0941-0643. ISSN (online) 1433-3058


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2014 [01] Yanik, Paul M., Manganelli, Joe, Merino, Jessica, Threatt, Anthony L., Brooks, Johnell O., Green, Keith Evan, Walker, Ian D. A gesture learning interface for simulated robot path shaping with a human teacher [elektronický dokument]. DOI 10.1109/TSMC.2013.2291714 In: IEEE Transactions on Human-Machine Systems. Piscataway: IEEE, 2014, Roč. 44, č. 1, s. 41-54 [tlačená forma]. ISSN 2168-2291. ISSN (online) 2168-2305


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ADC Vedecké práce v zahraničných karentovaných časopisoch

Počet výstupov: 10


ADC_001 Mosavi, Amir, Salimi, Mohsen, Ardabili, Sina Faizollahzadeh, Rabczuk, Timon, Shamshirband, Shahaboddin, Várkonyiné Kóczy, Annamária. State of the art of machine learning models in energy systems, a systematic review [elektronický dokument]. DOI 10.3390/en12071301 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 12, č. 7, s. 1301-1342 [online]. ISSN (online) 1996-1073. https://www.webofscience.com/wos/ccc/full-record/CCC:000465561400118. https://www.scopus.com/record/display.uri?eid=2-s2.0-85065016714&origin=resultslist. [angličtina]


Ohlasy:

2023 [01] Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola, Jaques, Natasha, Waldman-Brown, Anna, Luccioni, Alexandra Sasha, Maharaj, Tegan, Sherwin, Evan D., Mukkavilli, S. Karthik, Kording, Konrad P., Gomes, Carla P., Ng, Andrew Y., Hassabis, Demis, Platt, John C., Creutzig, Felix, Chayes, Jennifer, Bengio, Yoshua. Tackling climate change with machine learning [elektronický dokument]. DOI 10.1145/3485128 In: ACM Computing Surveys. New York: Association for Computing Machinery, 2023, Roč. 55, č. 2, [tlačená forma] [online]. ISSN 0360-0300. ISSN (online) 1557-7341


2022 [01] Pizarroso, Jaime, Portela, Jose, Munoz, Antonio. NeuralSens: sensitivity analysis of neural networks. DOI 10.18637/jss.v102.i07 In: JOURNAL OF STATISTICAL SOFTWARE. Los Angeles: University of California, Los Angeles, 2022, Roč. 102, č. 7, s. 1-36. ISSN 1548-7660


2022 [01] Zhang, Wenyong, Li, Qingwei, He, Qifeng. Application of machine learning methods in photovoltaic output power prediction: A review [elektronický dokument]. DOI 10.1063/5.0082629 In: Journal of Renewable and Sustainable Energy. [s.l.]: American Institute of Physics , 2022, Roč. 14, č. 2. ISSN (online) 19417012


2022 [01] Nejad, Mohammad Chavosh, Hadavandi, Esmaeil, Nakhostin, Mohammad Masoud, Mehmanpazir, Farhad. A data-driven model for energy consumption analysis along with sustainable production: A case study in the steel industry [elektronický dokument]. DOI 10.1080/15567036.2022.2064943 In: Energy Sources, Part A: Recovery, Utilization and Environmental Effects. [S.l.]: Taylor & Francis Group, 2022, Roč. 44, č. 2, s. 3360-3380. ISSN 1556-7036. ISSN (online) 1556-7230


2022 [01] Grobelna, Iwona, Szcześniak, Paweł. Interpreted Petri nets applied to autonomous components within electric power systems [elektronický dokument]. DOI 10.3390/app12094772 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 12, č. 9, [online]. ISSN (online) 2076-3417


2022 [01] Chiu, Ming Chuan, Wen, Chih Yuan, Hsu, Hsin Wei, Wang, Wei Cheng. Key wastes selection and prediction improvement for biogas production through hybrid machine learning methods [elektronický dokument]. DOI 10.1016/j.seta.2022.102223 In: Sustainable energy technologies and assessments. [s.l.]: Elsevier, 2022, Roč. 52, [tlačená forma] [online]. ISSN 2213-1388. ISSN (online) 2213-1396


2022 [01] Forootan, Mohammad Mahdi, Larki, Iman, Zahedi, Rahim, Ahmadi, Abolfazl. Machine learning and deep learning in energy systems: A review [elektronický dokument]. DOI 10.3390/su14084832 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 14, č. 8, [online]. ISSN (online) 2071-1050


2022 [01] Sushmi, N. B., Subbulekshmi, D. Performance analysis of FFBP-LM-ANN based Hourly GHI prediction using environmental variables: A case study in Chennai [elektronický dokument]. DOI 10.1155/2022/1713657 In: Mathematical Problems in Engineering. London: Hindawi Limited, 2022, Roč. 2022, s. [tlačená forma] [online]. ISSN 1024-123X. ISSN (online) 1563-5147


2022 [01] Jain, Shruti. A computational model for detection of lung diseases due to forkhead transcription factors [elektronický dokument]. DOI 10.1007/978-981-16-8774-7_7 In: Lecture Notes in Electrical Engineering. [s.l.]: Springer Publishing Company, 2022, s. 71-81. ISBN 9789811687730. ISSN 18761100. ISSN (online) 18761119


2022 [01] Singh, Risha, Memon, Shebaz A., Shaikh, Rehan, Upadhyay, Darshit S. A review of artificial intelligence applied for the solution of issues in the extensive adaption of solar and wind energy [elektronický dokument]. DOI 10.1080/01430750.2022.2063384 In: International Journal of Ambient Energy, 2022. ISSN 01430750. ISSN (online) 21628246


2022 [01] Vennila, C., Titus, Anita, Sudha, T. Sri, Sreenivasulu, U., Reddy, N. Pandu Ranga, Jamal, K., Lakshmaiah, Dayadi, Jagadeesh, P., Belay, Assefa. Forecasting solar energy production using machine learning [elektronický dokument]. DOI 10.1155/2022/7797488 In: International Journal of Photoenergy. Londýn: Hindawi Publishing Corporation, 2022, Roč. 2022, [tlačená forma]. ISSN 1110-662X. ISSN (online) 1687-529X


2022 [01] Li, Jingyun, Zhao, Hong. Construction of an optimal scheduling method for campus energy systems based on deep learning models [elektronický dokument]. DOI 10.1155/2022/5350786 In: Mathematical Problems in Engineering. London: Hindawi Limited, 2022, Roč. 2022, [tlačená forma] [online]. ISSN 1024-123X. ISSN (online) 1563-5147


2022 [01] Sadeghifar, T., Lama, G. F.C., Sihag, P., Bayram, A., Kisi, O. Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf. DOI 10.1016/j.oceaneng.2021.110467 In: Ocean Engineering. Amsterdam: Elsevier, 2022, Roč. 245, [tlačená forma]. ISSN 0029-8018


2022 [01] Bahadar, Ali, Kanthasamy, Ramesh, Sait, Hani Hussain, Zwawi, Mohammed, Algarni, Mohammed, Ayodele, Bamidele Victor, Cheng, Chin Kui, Wei, Lim Jun. Elucidating the effect of process parameters on the production of hydrogen-rich syngas by biomass and coal Co-gasification techniques: A multi-criteria modeling approach [elektronický dokument]. DOI 10.1016/j.chemosphere.2021.132052 In: Chemosphere: chemistry, biology and toxicology as related to environmental problems. Oxford: Elsevier. Pergamon Press, 2022, č. 287, [tlačená forma] [online]. ISSN 0045-6535. ISSN (online) 1879-1298. ISSN (zrušené) 0366-7111


2022 [01] Alanne, Kari, Sierla, Seppo. An overview of machine learning applications for smart buildings [elektronický dokument]. DOI 10.1016/j.scs.2021.103445 In: Sustainable cities and society. [Amsterdam]: Elsevier, 2022, Roč. 76, [tlačená forma] [online]. ISSN 2210-6707. ISSN (online) 2210-6715


2022 [01] López, Germánico, Arboleya, Pablo. Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador [elektronický dokument]. DOI 10.1016/j.renene.2021.10.070 In: Renewable Energy: An International Journal: The Official Journal of WREN - The World Renewable Energy Network. Amsterdam: Elsevier, 2022, č. 183, 351-368 [tlačená forma] [online]. ISSN 0960-1481. ISSN (online) 1879-0682


2022 [01] Malhan, Priyanka, Mittal, Monika. A novel ensemble model for long-term forecasting of wind and hydro power generation [elektronický dokument]. DOI 10.1016/j.enconman.2021.114983 In: Energy Conversion and Management: An International Journal. Oxford: Elsevier. Pergamon Press, 2022, Roč. 251, [tlačená forma] [online]. ISSN 0196-8904. ISSN (online) 1879-2227


2022 [01] Hossain, SK Safdar, Ali, Syed Sadiq, Rushd, Sayeed, Ayodele, Bamidele Victor, Cheng, Chin Kui. Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms [elektronický dokument]. DOI 10.1002/er.7602 In: International journal of energy research. New York: John Wiley & Sons, 2022, [tlačená forma] [online]. ISSN 0363-907X. ISSN (online) 1099-114X


2022 [01] Malik, Pooja, Gehlot, Anita, Singh, Rajesh, Gupta, Lovi Raj, Thakur, Amit Kumar. A Review on ANN Based Model for Solar Radiation and Wind Speed Prediction with Real-Time Data [elektronický dokument]. DOI 10.1007/s11831-021-09687-3 In: Archives of Computational Methods in Engineering. Amsterdam: Springer Nature, 2022, [tlačená forma] [online]. ISSN 1134-3060. ISSN (online) 1886-1784


2022 [01] Chauhan, Ritu, Yafi, Eiad. Applicability of classifier to discovery knowledge for future prediction modelling [elektronický dokument]. DOI 10.1007/s12652-022-03694-3 In: Journal of Ambient Intelligence and Humanized Computing. [s.l.]: Springer Nature. Springer, 2022, [tlačená forma] [online]. ISSN 1868-5137. ISSN (online) 1868-5145


2022 [01] Alraddadi, Ghaidaa Hamad, Othman, Mohamed Tahar Ben. Development of an Efficient Electricity Consumption Prediction Model using Machine Learning Techniques [elektronický dokument]. DOI 10.14569/IJACSA.2022.0130147 In: International Journal of Advanced Computer Science and Applications. Bradford: Science and Information (SAI) Organization, 2022, Roč. 13, č. 1, 376-384 [tlačená forma]. ISSN 2158-107X. ISSN (online) 2156-5570


2022 [01] Zhang, Shuai, Chen, Shi Jun, Ma, Guang wen, Huang, Wei bin, Li, Bin. Generation hybrid forecasting for frequency-modulation hydropower station based on improved EEMD and ANN adaptive switching [elektronický dokument]. DOI 10.1007/s00202-022-01526-3 In: Electrical Engineering: Archiv für Elektrotechnik. Berlin: Springer Science+Business Media B.V., 2022, [tlačená forma]. ISSN 0948-7921. ISSN (online) 1432-0487


2022 [01] Shnain, Zainab Y., Alwaiti, Asawer A., Rashed, Musaab K., Shakor, Zaidon Mohsin. Experimental and Data-driven approach of investigating the effect of parameters on the fluid flow characteristic of nanosilica enhanced two phase flow in pipeline [elektronický dokument]. DOI 10.1016/j.aej.2021.06.017 In: Alexandria Engineering Journal. Amsterdam: Elsevier, 2022, Roč. 61, č. 2, 1159-1170. ISSN 1110-0168. ISSN (online) 2090-2670


2022 [01] Musbah, Hmeda, Ali, Gama, Aly, Hamed H., Little, Timothy A. Energy management using multi-criteria decision making and machine learning classification algorithms for intelligent system. DOI 10.1016/j.epsr.2021.107645 In: Electric power systems research: an international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric power. Amsterdam: Elsevier, 2022, Roč. 203, [tlačená forma]. ISSN 0378-7796


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2020 [01] Murillo-Yarce, Duberney, Alarcón-Alarcón, José, Rivera, Marco, Restrepo, Carlos, Muñoz, Javier, Baier, Carlos, Wheeler, Patrick. A review of control techniques in photovoltaic systems [elektronický dokument]. DOI 10.3390/su122410598 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 12, č. 24, 1-22 [online]. ISSN (online) 2071-1050


2020 [01] Zhang, Yizhuo, Liu, Yiwei, Chen, Chi Hua. Survey on blockchain and deep learning. DOI 10.1109/TrustCom50675.2020.00272 In: Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020. [s.l.] : [s.n.], 2020, 1989-1994. ISBN 9780738143804


2020 [01] Vivas, Eliana, Allende-Cid, Héctor, Salas, Rodrigo. A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score [elektronický dokument]. DOI 10.3390/e22121412 In: Entropy. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 22, č. 12, 1-24 [online]. ISSN (online) 1099-4300


2020 [01] Jopri, Mohd Hatta, Ab Ghaiii, Mohd Ruddin, Abdullah, Abdul Rahim, Manap, Mustafa, Sutikno, Tole, Too, Jingwei. K-nearest neighbor and naïve bayes based diagnostic analytic of harmonic source identification [elektronický dokument]. DOI 10.11591/eei.v9i6.2685 In: Bulletin of Electrical Engineering and Informatics. [s.l.]: Institute of Advanced Engineering and Science (IAES), 2020, Roč. 9, č. 6, 2650-2657 [tlačená forma] [online]. ISSN 2089-3191. ISSN (online) 2302-9285. [angličtina]


2020 [01] Widjonarko, Avian, Cries, Utomo, Satrio Budi, Setiawan, Andi, Rudiyanto, Bayu. A control strategy for hybrid energy source in backbone base transceiver station using artificial neural network: a case study of Penajam, Indonesia [elektronický dokument]. DOI 10.1007/s40095-020-00348-y In: International Journal of Energy and Environmental Engineering. Berlín: Springer Nature. Springer International Publishing AG, 2020, Roč. 11, č. 4, 405-416 [tlačená forma]. ISSN 2008-9163. ISSN (online) 2251-6832


2020 [01] Rahaman, Habibur, Rubaith Bashar, T. M., Munem, Mohammad, Hasib, Md Hasibul Hasan, Mahmud, Hasan, Alif, Arifin Nur. Bayesian optimization based ANN model for short term wind speed forecasting in Newfoundland, Canada. DOI 10.1109/EPEC48502.2020.9320075 In: 2020 IEEE Electric Power and Energy Conference, EPEC 2020. [s.l.] : [s.n.], 2020. ISBN 9781728164892


2020 [01] Ecer, Fatih, Ardabili, Sina, Band, Shahab S., Mosavi, Amir. Training multilayer perceptron with genetic algorithms and particle swarm optimization for modeling stock price index prediction [elektronický dokument]. DOI 10.3390/e22111239 In: Entropy. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 22, č. 11, 1-20 [online]. ISSN (online) 1099-4300


2020 [01] Guijo-Rubio, D., Durán-Rosal, A. M., Gutiérrez, P. A., Gómez-Orellana, A. M., Casanova-Mateo, C., Sanz-Justo, J., Salcedo-Sanz, S., Hervás-Martínez, C. Evolutionary artificial neural networks for accurate solar radiation prediction [elektronický dokument]. DOI 10.1016/j.energy.2020.118374 In: Energy: the International Journal. Londýn: Elsevier, 2020, Roč. 210, [tlačená forma] [online]. ISSN 0360-5442. ISSN (online) 1873-6785. [angličtina]


2020 [01] Orosz, Tamás, Rassõlkin, Anton, Kallaste, Ants, Arsénio, Pedro, Pánek, David, Kaska, Jan, Karban, Pavel. Robust design optimization and emerging technologies for electrical machines: Challenges and open problems [elektronický dokument]. DOI 10.3390/APP10196653 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 10, č. 19, [online]. ISSN (online) 2076-3417


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2020 [01] Rehman, Hassam ur, Korvola, Timo, Abdurafikov, Rinat, Laakko, Timo, Hasan, Ala, Reda, Francesco. Data analysis of a monitored building using machine learning and optimization of integrated photovoltaic panel, battery and electric vehicles in a Central European climatic condition [elektronický dokument]. DOI 10.1016/j.enconman.2020.113206 In: Energy Conversion and Management: An International Journal. Oxford: Elsevier. Pergamon Press, 2020, Roč. 221, [tlačená forma] [online]. ISSN 0196-8904. ISSN (online) 1879-2227


2020 [01] Joyokusumo, Irfan, Fatchurrahman, Rifqi, Putra, Handika, Maulana, Rendhi. Performance evaluation of naïve-bayes classifier in predicting the energy not served (ENS) class of electric power distribution system. DOI 10.1109/ICT-PEP50916.2020.9249933 In: The 2nd International Conference on Technology and Policy in Electric Power & Energy (ICT-PEP) 2020: September 23-24, 2020, Indonesia: Proceedings. [s.l.]: Institute of Electrical and Electronics Engineers, 2020, 214-218 [tlačená forma] [online]. ISBN 9781728188355. ISBN 1728188350. [angličtina]


2020 [01] Telle, Jan Simon, Maitanova, Nailya, Steens, Thomas, Hanke, Benedikt, Von Maydell, Karsten, Grottke, Matthias. Combined PV Power and Load Prediction for Building-Level Energy Management Applications. DOI 10.1109/EVER48776.2020.9243026 In: 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020. Danvers: Institute of Electrical and Electronics Engineers, 2020, [online]. ISBN 9781728156415. [angličtina]


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2020 [01] Haiqi, Omer Al, Nour, Abdurahman Hamid, Ayodele, Bamidele Victor, Bargaa, Rushdi. Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe2O3 photocatalyst. DOI 10.1088/1742-6596/1529/5/052058 In: The 2nd Joint International Conference on Emerging Computing Technology and Sports 2019: 25-27 November 2019, Bandung, Indonesia. Bristol: IOP Publishing, 2020, [online]. [angličtina]


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2020 [01] Smetanin, Sergey, Ometov, Aleksandr, Kannengieser, Niclas, Sturm, Benjamin, Komarov, Mikhail, Sunyaev, Ali. Modeling of Distributed Ledgers: Challenges and Future Perspectives. DOI 10.1109/CBI49978.2020.00025 In: 2020 IEEE 22nd Conference on Business Informatics: CBI 2020: Antwerp, Belgium, 22-24 June 2020: Proceedings. [s.l.]: Institute of Electrical and Electronics Engineers, 2020, 162-171 [tlačená forma] [online]. ISBN 9781728199269. ISBN 1728199263


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2020 [01] Loy-Benitez, Jorge, Heo, Sung Ku, Yoo, Chang Kyoo. Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders. DOI 10.1016/j.conengprac.2020.104330 In: Control Engineering Practice: a journal of IFAC, the International Federation of Automatic Control. Amsterdam: Elsevier, 2020, Roč. 97, [tlačená forma]. ISSN 0967-0661


2020 [01] Tehseen, Rabia, Farooq, Muhammad Shoaib, Abid, Adnan. Earthquake prediction using expert systems: A systematic mapping study [elektronický dokument]. DOI 10.3390/su12062420 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 12, č. 6, [online]. ISSN (online) 2071-1050


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2020 [01] de Oliveira, Danilo G., da Silva, Eliton M., Miranda, Fabiano J.F., Filho, José F.S., Parpinelli, Rafael S. Artificial Neural Network Model for Steel Strip Tandem Cold Mill Power Prediction. DOI 10.1007/978-3-030-61702-8_3 In: Applied Informatics: Third International Conference, ICAI 2020, Ota, Nigeria, October 29–31, 2020, Proceedings. [s.l.]: Springer Nature. Springer International Publishing AG, 2020, 29-42 [tlačená forma] [online]. ISBN 9783030617011. ISBN 3030617017. [angličtina]


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2020 [01] Maitanova, Nailya, Telle, Jan Simon, Hanke, Benedikt, Grottke, Matthias, Schmidt, Thomas, Von Maydell, Karsten, Agert, Carsten. A machine learning approach to low-cost photovoltaic power prediction based on publicly available weather reports [elektronický dokument]. DOI 10.3390/en13030735 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 3, [online]. ISSN (online) 1996-1073


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2020 [01] Nosratabadi, Saeed, Mosavi, Amir, Keivani, Ramin, Ardabili, Sina, Aram, Farshid. State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_22 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 228-238 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8


2020 [01] Leonori, Stefano, Paschero, Maurizio, Frattale Mascioli, Fabio Massimo, Rizzi, Antonello. Optimization strategies for Microgrid energy management systems by Genetic Algorithms [elektronický dokument]. DOI 10.1016/j.asoc.2019.105903 In: Applied Soft Computing: The Official Journal of the World Federation on Soft Computing (WFSC). Amsterdam: Elsevier, 2020, Roč. 86, [tlačená forma]. ISSN 1568-4946. ISSN (online) 1872-9681


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2020 [01] Hirose, Kei, Wada, Keigo, Hori, Maiya, Taniguchi, Rin-ichiro. Event Effects Estimation on Electricity Demand Forecasting [elektronický dokument]. DOI 10.3390/en13215839 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 21, [online]. ISSN (online) 1996-1073


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2020 [01] Ruiz, Carlos, Alaíz, Carlos M., Dorronsoro, José R. Multitask support vector regression for solar and wind energy prediction [elektronický dokument]. DOI 10.3390/en13236308 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 23, [online]. ISSN (online) 1996-1073


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2019 [01] Bickel, Manuel W. Reflecting trends in the academic landscape of sustainable energy using probabilistic topic modeling [elektronický dokument]. DOI 10.1186/s13705-019-0226-z In: Energy, Sustainability and Society, 2019, Roč. 9, č. 1, [online]. ISSN (online) 2192-0567


2019 [01] Brahimi, Tayeb. Using artificial intelligence to predict wind speed for energy application in Saudi Arabia [elektronický dokument]. DOI 10.3390/en12244669 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 12, č. 24, [online]. ISSN (online) 1996-1073


2019 [01] Weigel, Paul, Fischedick, Manfred. Review and categorization of digital applications in the energy sector [elektronický dokument]. DOI 10.3390/app9245350 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 9, č. 24, [online]. ISSN (online) 2076-3417


2019 [01] Dineva, Adrienn, Mosavi, Amir, Gyimesi, Mate, Vajda, Istvan, Nabipour, Narjes, Rabczuk, Timon. Fault diagnosis of rotating electrical machines using multi-label classification [elektronický dokument]. DOI 10.3390/app9235086 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 9, č. 23, art. no. 5086 [online]. ISSN (online) 2076-3417. [angličtina]


2019 [01] Fan, Shixiong, Lin, Jinghuai, Zhang, Tiance, Dong, Genyuan, Liu, Xingwei. Temporal and Spatial Distribution of Power System Voltage based on Generalized Regression Neural Network. DOI 10.1109/iSPEC48194.2019.8974895 In: Grid Modernization for Energy Revolution: ISPEC 2019: 2019 IEEE Sustainable Power & Energy Conference: Proceedings: Beijing, China, 21-23 November 2019. [s.l.]: Institute of Electrical and Electronics Engineers, 2019, 1891-1896 [tlačená forma] [online]. ISBN 9781728149301. ISBN 1728149304


2019 [01] Rodríguez-Martín, Manuel, Rodríguez-Gonzálvez, Pablo, Sánchez-Patrocinio, Alberto, Sánchez, Javier Ramón. Short CFD simulation activities in the context of fluid-mechanical learning in a multidisciplinary student body [elektronický dokument]. DOI 10.3390/app9224809 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 9, č. 22, [online]. ISSN (online) 2076-3417


2019 [01] Györi, Alexey, Niederau, Mathis, Zeller, Violett, Stich, Volker. Evaluation of Deep Learning-based prediction models in Microgrids. DOI 10.1109/CENCON47160.2019.8974844 In: CENCON 2019 - 2019 IEEE Conference on Energy Conversion. [s.l.] : [s.n.], 2019, 95-99. ISBN 9781728134338


2019 [01] Lee, Sangyoon, Choi, Dae Hyun. Reinforcement learning-based energy management of smart home with rooftop solar photovoltaic system, energy storage system, and home appliances [elektronický dokument]. DOI 10.3390/s19183937 In: Sensors. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 19, č. 18, [online] [tlačená forma]. ISSN 1424-3210. ISSN (online) 1424-8220


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2019 [01] Monks, Ian, Stewart, Rodney A., Sahin, Oz, Keller, Robert. Revealing unreported benefits of digital water metering: Literature review and expert opinions [elektronický dokument]. DOI 10.3390/w11040838 In: Water. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 11, č. 4, [online]. ISSN (online) 2073-4441


2019 [01] Brahimi, Tayeb, Alwateed, Budoor, Bensenouci, Ahmed, Alhebshi, Fatima. Solar irradiation prediction using machine learning techniques: The case of Saudi Arabia [elektronický dokument] In: Proceedings of the International Conference on Industrial Engineering and Operations Management. Michigan: IEOM Society, 2019, 957-965 [online]. ISSN (online) 2169-8767


2019 [01] AlKandari, Mariam, Ahmad, Imtiaz. Solar power generation forecasting using ensemble approach based on deep learning and statistical methods [elektronický dokument]. DOI 10.1016/j.aci.2019.11.002 In: Applied Computing and Informatics. [s.l.]: Emerald Group Publishing, 2019, [online]. ISSN 2634-1964. ISSN (online) 2210-8327


2019 [01] Jafari-Sejahrood, Abuzar, Najafi, Bahman, Ardabili, Sina, Band, Shahab S., Mosavi, Amir, Chau, Kwok wing. Limiting factors for biogas production from cow manure: energo-environmental approach [elektronický dokument]. DOI 10.1080/19942060.2019.1654411 In: Engineering Applications of Computational Fluid Mechanics. [s.l.]: Hong Kong Polytechnic University, 2019, Roč. 13, č. 1, 954-966 [tlačená forma] [online]. ISSN 1994-2060. ISSN (online) 1997-003X


ADC_002 Shamshirband, Shahaboddin, Hadipoor, Masoud, Baghban, Alireza, Mosavi, Amir, Bukor, József, Várkonyiné Kóczy, Annamária. Developing an ANFIS-PSO model to predict mercury emissions in combustion flue gases [elektronický dokument]. DOI 10.3390/math7100965 In: Mathematics. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 7, č. 10, art. no. 965, s. 1-16 [online]. ISSN (online) 2227-7390. [angličtina]


Ohlasy:

2022 [01] Dashdondov, Khongorzul, Song, Mi Hwa. Factorial Analysis for Gas Leakage Risk Predictions from a Vehicle-Based Methane Survey [elektronický dokument]. DOI 10.3390/app12010115 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 12, č. 1, [online]. ISSN (online) 2076-3417


2022 [01] Jaypuria, Sanjib, Das, Amit Kumar, Kanigalpula, P. K.C., Das, Debasish, Pratihar, Dilip Kumar, Chakrabarti, Debalay, Jha, M. N. Swarm intelligence-based modeling and multi-objective optimization of welding defect in electron beam welding [elektronický dokument]. DOI 10.1007/s13369-022-07017-8 In: Arabian Journal for Science and Engineering. Heidelberg: Springer Nature. Springer International Publishing AG, 2022, [tlačená forma] [online]. ISSN 2193-567X. ISSN (online) 2191-4281. [angličtina]


2022 [01] Esmaeili, Narjes, Esmaeili Khalil Saraei, Fatemeh, Ebrahimian Pirbazari, Azadeh, Tabatabai-Yazdi, Fatemeh Sadat, Khodaee, Ziba, Amirinezhad, Ali, Esmaeili, Amin, Ebrahimian Pirbazari, Ali. Estimation of 2,4-dichlorophenol photocatalytic removal using different artificial intelligence approaches [elektronický dokument]. DOI 10.1515/cppm-2021-0065 In: Chemical Product and Process Modeling. [s.l.]: Walter de Gruyter, 2022, [tlačená forma] [online]. ISSN 2194-6159. ISSN (online) 1934-2659. [angličtina]


2021 [01] Yang, Yong, Zheng, Shuaishuai, Ai, Zhilu, Jafari, Mohammad Mahdi Molla. On the Prediction of Biogas Production from Vegetables, Fruits, and Food Wastes by ANFIS- And LSSVM-Based Models [elektronický dokument]. DOI 10.1155/2021/9202127 In: BioMed Research International. New York: Hindawi Publishing Corporation, 2021, Roč. 2021, [tlačená forma] [online]. ISSN 2314-6133. ISSN (online) 2314-6141


2021 [01] Kumar, Mahalingam Siva, Rajamani, Devaraj, Nasr, Emad Abouel, Balasubramanian, Esakki, Mohamed, Hussein, Astarita, Antonello. A hybrid approach of anfis—artificial bee colony algorithm for intelligent modeling and optimization of plasma arc cutting on monel™ 400 alloy [elektronický dokument]. DOI 10.3390/ma14216373 In: Materials. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 14, č. 21, [online]. ISSN (online) 1996-1944


2021 [01] Abdi, Jafar, Hadavimoghaddam, Fahimeh, Hadipoor, Masoud, Hemmati-Sarapardeh, Abdolhossein. Modeling of CO2 adsorption capacity by porous metal organic frameworks using advanced decision tree-based models [elektronický dokument]. DOI 10.1038/s41598-021-04168-w In: Scientific Reports. Londýn: Springer Nature. Nature Publishing Group, 2021, Roč. 11, č. 1, [online] [tlačená forma]. ISSN (online) 2045-2322


2021 [01] Kousis, Anestis, Tjortjis, Christos. Data mining algorithms for smart cities: A bibliometric analysis [elektronický dokument]. DOI 10.3390/a14080242 In: Algorithms. Basel: Multidisciplinary Digital Publishing Institute, 2021, Roč. 14, č. 8, [online]. ISSN (online) 1999-4893


2021 [01] Rathnayake, Namal, Dang, Tuan Linh, Hoshino, Yukinobu. A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy Inference System [elektronický dokument]. DOI 10.1007/s40815-021-01076-z In: International Journal of Fuzzy Systems. Heidelberg: Springer Publishing Company, 2021, Roč. 23, č. 7, 1955-1971. ISSN 15622479. ISSN (online) 21993211


2021 [01] Al-qaness, Mohammed A.A., Fan, Hong, Ewees, Ahmed A., Yousri, Dalia, Abd Elaziz, Mohamed. Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality [elektronický dokument]. DOI 10.1016/j.envres.2020.110607 In: Environmental Research: A Multidisciplinary Journal of Environmental Sciences, Ecology, and Public Health. Amsterdam: Elsevier, 2021, Roč. 194, [tlačená forma]. ISSN 0013-9351. ISSN (online) 1096-0953


2021 [01] Naser, M. Z. Mechanistically Informed Machine Learning and Artificial Intelligence in Fire Engineering and Sciences [elektronický dokument]. DOI 10.1007/s10694-020-01069-8 In: Fire technology. New York: Springer Nature. Springer International Publishing AG, 2021, [tlačená forma]. ISSN 0015-2684. ISSN (online) 1572-8099


2020 [01] Heras, Ana De Las, Luque-Sendra, Amalia, Zamora-Polo, Francisco. Machine learning technologies for sustainability in smart cities in the post-covid era [elektronický dokument]. DOI 10.3390/su12229320 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 12, č. 22, 1-25 [online]. ISSN (online) 2071-1050


2020 [01] Karballaeezadeh, Nader, Danial, Mohammadzadeh S., Moazemi, Dariush, Band, Shahab S., Mosavi, Amir, Reuter, Uwe. Smart structural health monitoring of flexible pavements using machine learning methods [elektronický dokument]. DOI 10.3390/coatings10111100 In: Coatings. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 10, č. 11, 1-18 [online]. ISSN (online) 2079-6412


2020 [01] Wang, Qing, Liu, Yufeng, Zhang, Xudong, Fu, Huicheng, Lin, Sen, Song, Shengyuan, Niu, Cencen. Study on an AHP-Entropy-ANFIS model for the prediction of the unfrozen water content of sodium-bicarbonate-type salinization frozen soil [elektronický dokument]. DOI 10.3390/MATH8081209 In: Mathematics. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 8, č. 8, [online]. ISSN (online) 2227-7390


2020 [01] Goldar, Sakineh Zeynali, Ghiasi, Amir Rikhtegar, Badamchizadeh, Mohammad Ali, Khoshbaten, Manouchehr. An ANFIS-PSO Algorithm for Predicting Four Grades of Non-Alcoholic Fatty Liver Disease. DOI 10.1109/HORA49412.2020.9152881 In: HORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings. [s.l.] : [s.n.], 2020. ISBN 9781728193526


2020 [01] Ahmad, Zulfiqar, Zhong, Hua, Mosavi, Amir, Sadiq, Mehreen, Saleem, Hira, Khalid, Azeem, Mahmood, Shahid, Nabipour, Narjes. Machine learning modeling of aerobic biodegradation for azo dyes and hexavalent chromium [elektronický dokument]. DOI 10.3390/MATH8060913 In: Mathematics. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 8, č. 6, [online]. ISSN (online) 2227-7390


2020 [01] Haghshenas, Sina Shaffiee, Pirouz, Behrouz, Haghshenas, Sami Shaffiee, Pirouz, Behzad, Piro, Patrizia, Na, Kyoung Sae, Cho, Seo Eun, Geem, Zong Woo. Prioritizing and analyzing the role of climate and urban parameters in the confirmed cases of COVID-19 based on artificial intelligence applications [elektronický dokument]. DOI 10.3390/ijerph17103730 In: International journal of environmental research and public health: open access journal. Basel: Multidisciplinary Digital Publishing Institute, 2020, Roč. 17, č. 10, [online] [tlačená forma]. ISSN 1661-7827. ISSN (online) 1660-4601


2020 [01] Umar, Abubakar, Shi, Zhanqun, Zheng, Lin, Khlil, Alhadi, Farouk, Zulfiqar Ibrahim Bibi. Parameter estimation for industrial robot manipulators using an improved particle swarm optimization algorithm with Gaussian mutation and archived elite learning [elektronický dokument]. DOI 10.25046/aj0506174 In: Advances in Science, Technology and Engineering Systems Journal: a bimonthly peer-review journal. Chicago: Advances in Science, Technology and Engineering Systems Journal, 2020, Roč. 5, č. 6, 1436-1457 [online]. ISSN (online) 2415-6698


2020 [01] Gougam, Fawzi, Chemseddine, Rahmoune, Benazzouz, Djamel, Benaggoune, Khaled, Zerhouni, Noureddine. Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal [elektronický dokument]. DOI 10.1177/0954406220976154 In: Proceedings of the Institution of Mechanical Engineers: Part C: Journal of Mechanical Engineering Science. Bury St.Edmunds: Mechanical Engineering Publications, 2020, [tlačená forma]. ISSN 0954-4062. ISSN (online) 2041-2983


2020 [01] Bemani, Amin, Baghban, Alireza, Mosavi, Amir, Band, Shahab S. Estimating CO<inf>2</inf>-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms [elektronický dokument]. DOI 10.1080/19942060.2020.1774422 In: Engineering Applications of Computational Fluid Mechanics. [s.l.]: Hong Kong Polytechnic University, 2020, Roč. 14, č. 1, 818-834 [tlačená forma] [online]. ISSN 1994-2060. ISSN (online) 1997-003X


2020 [01] Tran, Ngoc Thoai, Le Chau, Ngoc, Dao, Thanh Phong. A Hybrid Computational Method of Desirability, Fuzzy Logic, ANFIS, and LAPO Algorithm for Multiobjective Optimization Design of Scott Russell Compliant Mechanism [elektronický dokument]. DOI 10.1155/2020/3418904 In: Mathematical Problems in Engineering. London: Hindawi Limited, 2020, Roč. 2020, [tlačená forma] [online]. ISSN 1024-123X. ISSN (online) 1563-5147


2020 [01] Band, Shahab S., Babanezhad, Meisam, Mosavi, Amir, Nabipour, Narjes, Hajnal, Eva, Nadai, Laszlo, Chau, Kwok wing. Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants [elektronický dokument]. DOI 10.1080/19942060.2020.1715842 In: Engineering Applications of Computational Fluid Mechanics. [s.l.]: Hong Kong Polytechnic University, 2020, Roč. 14, č. 1, 367-378 [tlačená forma] [online]. ISSN 1994-2060. ISSN (online) 1997-003X


2020 [01] Nabipour, Narjes, Mosavi, Amir, Baghban, Alireza, Band, Shahab S., Felde, Imre. Extreme learning machine-based model for solubility estimation of hydrocarbon gases in electrolyte solutions [elektronický dokument]. DOI 10.3390/pr8010092 In: Processes. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 8, č. 1, [online]. ISSN (online) 2227-9717


2020 [01] Ouaer, Hocine, Hosseini, Amir Hossein, Amar, Menad Nait, Seghier, Mohamed El Amine Ben, Ghriga, Mohammed Abdelfetah, Nabipour, Narjes, Andersen, Pål Østebø, Mosavi, Amir, Band, Shahab S. Rigorous connectionist models to predict carbon dioxide solubility in various ionic liquids [elektronický dokument]. DOI 10.3390/app10010304 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 10, č. 1, [online]. ISSN (online) 2076-3417


2019 [01] Nabipour, Narjes, Karballaeezadeh, Nader, Dineva, Adrienn, Mosavi, Amir, Mohammadzadeh S., Danial, Band, Shahab S. Comparative analysis of machine learning models for prediction of remaining service life of flexible pavement [elektronický dokument]. DOI 10.3390/MATH7121198 In: Mathematics. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 7, č. 12, [online]. ISSN (online) 2227-7390


2019 [01] Alarifi, Ibrahim M., Nguyen, Hoang M., Bakhtiyari, Ali Naderi, Asadi, Amin. Feasibility of ANFIS-PSO and ANFIS-GA models in predicting thermophysical properties of Al<inf>2</inf>O<inf>3</inf>-MWCNT/Oil hybrid nanofluid [elektronický dokument]. DOI 10.3390/ma12213628 In: Materials. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 12, č. 21, [online]. ISSN (online) 1996-1944


2019 [01] Yeoh, Jia Ming, Caraffini, Fabio, Homapour, Elmina, Santucci, Valentino, Milani, Alfredo. A clustering system for dynamic data streams based on metaheuristic optimisation [elektronický dokument]. DOI 10.3390/math7121229 In: Mathematics. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 7, č. 12, 1-24 [online]. ISSN (online) 2227-7390


ADC_003 Aram, Farshid, Solgi, Ebrahim, Garcia, Ester Highueras, Mosavi, Amir, Várkonyiné Kóczy, Annamária. The Cooling Effect of Large-Scale Urban Parks on Surrounding Area Thermal Comfort [elektronický dokument]. DOI 10.3390/en12203904 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 12, č. 20, s. 1-21 [online]. ISSN (online) 1996-1073. https://www.webofscience.com/wos/ccc/full-record/CCC:000498391700100. https://www.scopus.com/record/display.uri?eid=2-s2.0-85074990704&origin=resultslist. [angličtina]


Ohlasy:

2022 [01] Chen, Mo, Jia, Wenxiao, Yan, Liang, Du, Chunlei, Wang, Kai. Quantification and mapping cooling effect and its accessibility of urban parks in an extreme heat event in a megacity [elektronický dokument]. DOI 10.1016/j.jclepro.2021.130252 In: Journal of Cleaner Production. Oxon: Elsevier, 2022, č. 334, [tlačená forma] [online]. ISSN 0959-6526. ISSN (online) 1879-1786


2022 [01] Yao, Xiong, Yu, Kunyong, Zeng, Xianjun, Lin, Yuebin, Ye, Baojian, Shen, Xiabing, Liu, Jian. How can urban parks be planned to mitigate urban heat island effect in “Furnace cities” ? An accumulation perspective [elektronický dokument]. DOI 10.1016/j.jclepro.2021.129852 In: Journal of Cleaner Production. Oxon: Elsevier, 2022, č. 330, [tlačená forma] [online]. ISSN 0959-6526. ISSN (online) 1879-1786


2022 [01] Wang, Tian, Tu, Hui, Min, Bo, Li, Zuzheng, Li, Xiaofang, You, Qingxiang. The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method [elektronický dokument]. DOI 10.3390/ijerph19052949 In: International journal of environmental research and public health: open access journal. Basel: Multidisciplinary Digital Publishing Institute, 2022, Roč. 19, č. 5, [online] [tlačená forma]. ISSN 1661-7827. ISSN (online) 1660-4601


2021 [01] Javadi, Reza. Urban green space and health: The role of thermal comfort on the health benefits from the urban green space; a review study [elektronický dokument]. DOI 10.1016/j.buildenv.2021.108039 In: Building and Environment: the international journal of building science and its applications. Amsterdam: Elsevier, 2021, Roč. 202, [tlačená forma]. ISSN 0360-1323. ISSN (online) 1873-684X


2021 [01] Mushtaha, Emad, Shareef, Sundus, Alsyouf, Imad, Mori, Taro, Kayed, Assel, Abdelrahim, Marwa, Albannay, Shamma. A study of the impact of major Urban Heat Island factors in a hot climate courtyard: The case of the University of Sharjah, UAE [elektronický dokument]. DOI 10.1016/j.scs.2021.102844 In: Sustainable cities and society. [Amsterdam]: Elsevier, 2021, Roč. 69, [tlačená forma] [online]. ISSN 2210-6707. ISSN (online) 2210-6715


2021 [01] Cruz, J. A., Blanco, A. C., Garcia, J. J., Santos, J. A., Moscoso, A. D. Evaluation of the cooling effect of green and blue spaces on urban microclimate through numerical simulation: A case study of Iloilo River Esplanade, Philippines [elektronický dokument]. DOI 10.1016/j.scs.2021.103184 In: Sustainable cities and society. [Amsterdam]: Elsevier, 2021, Roč. 74, [tlačená forma] [online]. ISSN 2210-6707. ISSN (online) 2210-6715


2021 [01] Irfandi, Munir, Abdul, Muslimsyah, Huda, Khairul. The Effect of Plants on Extensive Green Roofs in Urban Heat Island Mitigation Efforts in Humid Tropical Cities. DOI 10.1088/1755-1315/881/1/012043 In: 5th International Conference on Rebuilding Place: 15-16 September 2021, Banda Aceh, Indonesia (Virtual). Bristol: Institute of Physics. IOP Publishing, 2021, [online]


2021 [01] Hartabela, Dadang, Dewancker, Bart Julien, Koerniawan, Mochamad Donny. A relationship between micro‐meteorological and personal variables of outdoor thermal comfort: A case study in kitakyushu, japan [elektronický dokument]. DOI 10.3390/su132413634 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 13, č. 24, [online]. ISSN (online) 2071-1050


2021 [01] Mohamed, Mady, Othman, Abdullah, Abotalib, Abotalib Z., Majrashi, Abdulrahman. Urban heat island effects on megacities in desert environments using spatial network analysis and remote sensing data: A case study from western Saudi Arabia [elektronický dokument]. DOI 10.3390/rs13101941 In: Remote Sensing. Bazilej: Molecular Diversity Preservation International, 2021, Roč. 13, č. 10, [online]. ISSN (online) 2072-4292


2021 [01] Wei, Jiaxing, Li, Hongbo, Wang, Yuncai, Xu, Xizi. The cooling and humidifying effects and the thresholds of plant community structure parameters in urban aggregated green infrastructure [elektronický dokument]. DOI 10.3390/f12020111 In: Forests. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 12, č. 2, 1-16 [online]. ISSN (online) 1999-4907


2020 [01] Banchiero, Federica, Blečić, Ivan, Saiu, Valeria, Trunfio, Giuseppe A. Neighbourhood park vitality potential: From Jane Jacobs's theory to evaluation model [elektronický dokument]. DOI 10.3390/su12155881 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 12, č. 15, [online]. ISSN (online) 2071-1050


2020 [01] Jamei, E., Ossen, D. R., Seyedmahmoudian, M., Sandanayake, M., Stojcevski, A., Horan, B. Urban design parameters for heat mitigation in tropics [elektronický dokument]. DOI 10.1016/j.rser.2020.110362 In: Renewable & Sustainable Energy Reviews. Amsterdam: Elsevier, 2020, Roč. 134, [tlačená forma]. ISSN 1364-0321. ISSN (online) 1879-0690


2020 [01] Tsoka, Stella, Tsikaloudaki, Katerina, Theodosiou, Theodoros, Bikas, Dimitrios. Urban warming and cities’ microclimates: Investigation methods and mitigation strategies—A review [elektronický dokument]. DOI 10.3390/en13061414 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 6, [online]. ISSN (online) 1996-1073


ADC_004 Karballaeezadeh, Nader, Shamshirband, Shahaboddin, Mosavi, Amir, Nabipour, Narjes, Zaremotekhases, Farah, Csiba, Peter, Várkonyiné Kóczy, Annamária. Intelligent road inspection with advanced machine learning; Hybrid prediction models for smart mobility and transportation maintenance systems [elektronický dokument]. DOI 10.3390/en13071718 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 7, s. 1-21 [online]. ISSN (online) 1996-1073. https://www.webofscience.com/wos/ccc/full-record/CCC:000537688400187. https://www.scopus.com/record/display.uri?eid=2-s2.0-85082875059&origin=resultslist. [angličtina]


Ohlasy:

2022 [01] Safaei, Nima, Smadi, Omar, Masoud, Arezoo, Safaei, Babak. An Automatic Image Processing Algorithm Based on Crack Pixel Density for Pavement Crack Detection and Classification [elektronický dokument]. DOI 10.1007/s42947-021-00006-4 In: International Journal of Pavement Research and Technology. Jhongli: Chinese Society of Pavement Engineering, 2022, Roč. 15, č. 1, 159-172. ISSN 19966814. ISSN (online) 19971400


2022 [01] Jittawiriyanukoon, Chanintorn, Srisarkun, Vilasinee. Simulation for predictive maintenance using weighted training algorithms in machine learning [elektronický dokument]. DOI 10.11591/ijece.v12i3.pp2839-2846 In: International Journal of Electrical and Computer Engineering. Melaka: Institute of Advanced Engineering and Science (IAES), 2022, Roč. 12, č. 3, 2839-2846 [online]. ISSN (online) 2088-8708


2022 [01] Shtayat, Amir, Moridpour, Sara, Best, Berthold, Rumi, Shahriar. An Overview of Pavement Degradation Prediction Models [elektronický dokument]. DOI 10.1155/2022/7783588 In: Journal of Advanced Transportation. London: Wiley-Hindawi, 2022, Roč. 2022. ISSN 0197-6729. ISSN (online) 2042-3195


2022 [01] Ali, Yousaf, Khan, Amin Ullah, Bin Hameed, Hameem. Selection of Sustainable Mode of Transportation Based on Environmental, Economic, and Social Factors: Pakistan a Case in Point [elektronický dokument]. DOI 10.1007/s40890-022-00152-9 In: TRANSPORTATION IN DEVELOPING ECONOMIES. Cham: Springer Nature. Springer International Publishing AG, 2022, Roč. 8, č. 1, s. ISSN 2199-9287. ISSN (online) 2199-9295


2022 [01] Mishra, Ayushi, Jalaluddin, Zuber Mohammed, Mahamuni, Chaitanya V. Air quality analysis and smog detection in smart cities for safer transport using machine learning (ML) regression models. DOI 10.1109/CSNT54456.2022.9787618 In: Proceedings - 2022 IEEE 11th International Conference on Communication Systems and Network Technologies, CSNT 2022. [s.l.]: Institute of Electrical and Electronics Engineers, 2022, s. 200-206. ISBN 9781665480383. [angličtina]


2022 [01] Founoun, Adnane, Hanafi, Mahdi Alaoui, Hayar, Aawatif, Haqiq, Abdelkrim. Machine learning to support smart city initiatives [elektronický dokument] In: Journal of Theoretical and Applied Information Technology. Islamabad: Little Lion Scientific, 2022, Roč. 100, č. 7, s. 1654-1663 [tlačená forma]. ISSN 1992-8645. ISSN (online) 1817-3195. [angličtina]


2022 [01] Li, Hao, Fang, Naren, Wang, Xuancang, Fang, Yang, Li, Xianghang, Li, Chao, Ding, Siyin. Load transfer efficiency analysis and void evaluation of composite pavement cement concrete slab [elektronický dokument]. DOI 10.1155/2022/4490485 In: Advances in Materials Science and Engineering. Londýn: Hindawi Publishing Corporation, 2022, Roč. 2022, s. [tlačená forma]. ISSN 1687-8434. ISSN (online) 1687-8442. [angličtina]


2021 [01] Safaei, Nima, Smadi, Omar, Safaei, Babak, Masoud, Arezoo. Efficient road crack detection based on an adaptive pixel-level segmentation algorithm [elektronický dokument]. DOI 10.1177/03611981211002203 In: Transportation Research Record. California: SAGE Publications, 2021, 370-381. ISSN 03611981. ISSN (online) 21694052


2021 [01] Kalathas, Ilias, Papoutsidakis, Michail. Predictive maintenance using machine learning and data mining: A pioneer method implemented to greek railways [elektronický dokument]. DOI 10.3390/designs5010005 In: Designs. Bazilej: MDPI AG, 2021, Roč. 5, č. 1, 1-18 [online]. ISSN (online) 2411-9660


2021 [01] Perez, Husein, Tah, Joseph H. M. Deep learning smartphone application for real-time detection of defects in buildings [elektronický dokument]. DOI 10.1002/stc.2751 In: STRUCTURAL CONTROL & HEALTH MONITORING, 2021, Roč. 28, č. 7. ISSN 1545-2255. ISSN (online) 1545-2263


2021 [01] Safaei, Nima, Smadi, Omar, Safaei, Babak, Masoud, Arezoo. Efficient Road Crack Detection Based on an Adaptive Pixel-Level Segmentation Algorithm [elektronický dokument]. DOI 10.1177/03611981211002203 In: Transportation Research Record: Journal of the Transportation Research Board. Washington, DC: The National Academies of Sciences, Engineering, and Medicine. Transportation Research Board, 2021, [tlačená forma]. ISSN 0361-1981. ISSN (online) 2169-4052


2021 [01] Paiva, Sara, Ahad, Mohd Abdul, Tripathi, Gautami, Feroz, Noushaba, Casalino, Gabriella. Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges [elektronický dokument]. DOI 10.3390/s21062143 In: Sensors. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 21, č. 6, [online] [tlačená forma]. ISSN 1424-3210. ISSN (online) 1424-8220


2021 [01] Matei, Oliviu, Erdei, Rudolf, Pintea, Camelia-M. Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport [elektronický dokument]. DOI 10.15388/21-INFOR449 In: Informatica: an International Journal of Computing and Informatics. Amsterdam: IOS Press, 2021, Roč. 32, č. 2, 371-396 [tlačená forma]. ISSN 0868-4952. ISSN (online) 1822-8844


2020 [01] Kovacic, Bostjan, Zelodec, Damjan, Doler, Damjan. Prototype of the Runway Monitoring Process at Smaller Airports: Edvard Rusjan Airport Maribor [elektronický dokument]. DOI 10.3390/pr8121689 In: Processes. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 8, č. 12, [online]. ISSN (online) 2227-9717


2020 [01] Maldonado Silveira Alonso Munhoz, Paulo Antonio, Dias, Fabricio da Costa, Chinelli, Christine Kowal, Azevedo Guedes, Andre Luis, Neves dos Santos, Joao Alberto, e Silva, Wainer da Silveira, Pereira Soares, Carlos Alberto. Smart Mobility: The Main Drivers for Increasing the Intelligence of Urban Mobility [elektronický dokument]. DOI 10.3390/su122410675 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 12, č. 24, [online]. ISSN (online) 2071-1050


2020 [01] Woschank, Manuel, Rauch, E., Zsifkovits, Helmut. A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics [elektronický dokument]. DOI 10.3390/su12093760 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 12, č. 9, [online]. ISSN (online) 2071-1050


2020 [01] Kaloop, Mosbeh R., El-Badawy, Sherif M., Ahn, Jungkyu, Sim, Hyoung Bo, Hu, Jong Wan, Abd El-Hakim, Ragaa T. A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of international roughness index of rigid pavements [elektronický dokument]. DOI 10.1080/10298436.2020.1776281 In: The International journal of pavement engineering. Colchester,Essex: Taylor & Francis Group, 2020, [tlačená forma]. ISSN 1029-8436. ISSN (online) 1477-268X


ADC_005 Asghar, Muhammad Zubair, Subhan, Fazli, Imran, Muhammad, Kundi, Fazal Masud, Khan, Adil, Shamshirband, Shahaboddin, Mosavi, Amir, Csiba, Peter, Várkonyiné Kóczy, Annamária. Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content [elektronický dokument]. DOI 10.32604/cmc.2020.07709 In: Computers, Materials & Continua. Henderson: Tech Science Press, 2020, Roč. 63, č. 3, s. 1093-1118 [tlačená forma]. ISSN 1546-2218. ISSN (online) 1546-2226. https://www.webofscience.com/wos/ccc/full-record/CCC:000530861300002. [angličtina]


Ohlasy:

2021 [01] Chen, Heng, Duan, Jinying, Yin, Rui, Ponkratov, Vadim V., Grimaldo Guerrero, John William. Prediction of penetration rate by Coupled Simulated Annealing-Least Square Support Vector Machine (CSA_LSSVM) learning in a hydrocarbon formation based on drilling parameters [elektronický dokument]. DOI 10.1016/j.egyr.2021.06.080 In: Energy Reports. [s.l.]: Elsevier, 2021, Roč. 7, 3971-3978 [online]. ISSN (online) 2352-4847


2021 [01] Yu, Zhonggen, Yu, Liheng. A Meta-Analysis of Online Learning Outcomes and Their Gender Differences [elektronický dokument]. DOI 10.4018/IJDET.2021070103 In: INTERNATIONAL JOURNAL OF DISTANCE EDUCATION TECHNOLOGIES, 2021, Roč. 19, č. 3, 33-50. ISSN 1539-3100. ISSN (online) 1539-3119


2021 [01] Qazi, Emad-ul-Haq, Hussain, Muhammad, AboAlsamh, Hatim A. Electroencephalogram (EEG) Brain Signals to Detect Alcoholism Based on Deep Learning [elektronický dokument]. DOI 10.32604/cmc.2021.013589 In: Computers, Materials & Continua. Henderson: Tech Science Press, 2021, Roč. 67, č. 3, 3329-3348 [tlačená forma]. ISSN 1546-2218. ISSN (online) 1546-2226


2021 [01] Zhang, Shunxiang, Yu, Hongbin, Zhu, Guangli. An emotional classification method of Chinese short comment text based on ELECTRA [elektronický dokument]. DOI 10.1080/09540091.2021.1985968 In: Connection Science. Abingdon: Taylor & Francis Group, 2021, [tlačená forma]. ISSN 0954-0091. ISSN (online) 1360-0494


2021 [01] Rouf, Nusrat, Malik, Majid Bashir, Arif, Tasleem, Sharma, Sparsh, Singh, Saurabh, Aich, Satyabrata, Kim, Hee-Cheol. Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions [elektronický dokument]. DOI 10.3390/electronics10212717 In: Electronics. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 10, č. 21, [online]. ISSN (online) 2079-9292


2020 [01] Erenel, Zafer, Adegboye, Oluwatayomi Rereloluwa, Kusetogullari, Huseyin. A New Feature Selection Scheme for Emotion Recognition from Text [elektronický dokument]. DOI 10.3390/app10155351 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 10, č. 15, [online]. ISSN (online) 2076-3417


ADC_006 Bemani, Amin, Baghban, Alireza, Shamshirband, Shahaboddin, Mosavi, Amir, Csiba, Peter, Várkonyiné Kóczy, Annamária. Applying ANN, ANFIS and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2 [elektronický dokument]. DOI 10.32604/cmc.2020.07723 In: Computers, Materials & Continua. Henderson: Tech Science Press, 2020, Roč. 63, č. 3, s. 1175-1204 [tlačená forma]. ISSN 1546-2218. ISSN (online) 1546-2226. https://www.webofscience.com/wos/ccc/full-record/CCC:000530861300007. [angličtina]


Ohlasy:

2022 [01] Fujii, Tatsuya, Kobune, Marina. Prediction of partition coefficient in high-pressure carbon dioxide–water systems using machine learning. DOI 10.1016/j.supflu.2021.105421 In: Journal of Supercritical Fluids. Amsterdam: Elsevier, 2022, Roč. 179. ISSN 08968446


2022 [01] Sabouri, Hossein, Sajadi, Sayed Javad. Predicting hybrid rice performance using AIHIB model based on artificial intelligence [elektronický dokument]. DOI 10.1038/s41598-022-13805-x In: Scientific Reports. Londýn: Springer Nature. Nature Publishing Group, 2022, Roč. 12, č. 1, [online] [tlačená forma]. ISSN (online) 2045-2322. [angličtina]


2022 [01] Huynh, Ngoc Thai, Nguyen, Tien V.T., Nguyen, Quoc Manh. Optimum design for the magnification mechanisms employing fuzzy logic–ANFIS [elektronický dokument]. DOI 10.32604/cmc.2022.029484 In: Computers, Materials & Continua. Henderson: Tech Science Press, 2022, Roč. 73, č. 3, s. 5961-5983 [tlačená forma]. ISSN 1546-2218. ISSN (online) 1546-2226. [angličtina]


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2021 [01] Elveny, Marischa, Akhmadeev, Ravil, Dinari, Mina, Abdelbasset, Walid Kamal, Bokov, Dmitry O., Jafari, Mohammad Mahdi Molla. Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food [elektronický dokument]. DOI 10.1155/2021/3805748 In: BioMed Research International. New York: Hindawi Publishing Corporation, 2021, Roč. 2021, [tlačená forma] [online]. ISSN 2314-6133. ISSN (online) 2314-6141


2021 [01] Xu, Gang, Wang, Xinyue, Zhang, Na, Wang, Zhifei, Yu, Lin, He, Liqiang. A Routing Algorithm for the Sparse Opportunistic Networks Based on Node Intimacy [elektronický dokument]. DOI 10.1155/2021/6666211 In: Wireless Communications and Mobile Computing. Londýn: Wiley-Hindawi, 2021, Roč. 2021, [online] [tlačená forma]. ISSN 1530-8669. ISSN (online) 1530-8677


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2021 [01] Jamil, Sonain, Rahman, Muhibur, Haider, Amir. Bag of features (Bof) based deep learning framework for bleached corals detection [elektronický dokument]. DOI 10.3390/bdcc5040053 In: Big Data and Cognitive Computing. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 5, č. 4, [tlačená forma]. ISSN (online) 2504-2289


2021 [01] Cao, Ning, Wang, Wenli. Research on SVM Parameter Optimization Mechanism Based on Particle Swarm Optimization [elektronický dokument]. DOI 10.1007/978-3-030-78615-1_29 In: Communications in Computer and Information Science. Amsterdam: Elsevier, 2021, 328-337. ISBN 9783030786144. ISSN 18650929. ISSN (online) 18650937


ADC_007 Shabani, Sevda, Samadianfard, Saeed, Sattari, Mohammad Taghi, Mosavi, Amir, Shamshirband, Shahaboddin, Kmeť, Tibor, Várkonyiné Kóczy, Annamária. Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis [elektronický dokument]. DOI 10.3390/ATMOS11010066 In: Atmosphere. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 11, č. 1, art. no. 66, s. 1-17 [online]. ISSN (online) 2073-4433. https://www.webofscience.com/wos/ccc/full-record/CCC:000516826200066. [angličtina]


Ohlasy:

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2022 [01] Jahangir, Mohammad Sina, Biazar, Seyed Mostafa, Hah, David, Quilty, John, Isazadeh, Mohammad. Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran [elektronický dokument]. DOI 10.1007/s00477-021-02070-5 In: Stochastic Environmental Research and Risk Assessment. Berlín: Springer Nature. Springer International Publishing AG, 2022, Roč. 36, č. 1, 225-249 [tlačená forma]. ISSN 1436-3240. ISSN (online) 1436-3259


2022 [01] Zhao, Ying, Li, Yue Lei, Yang, Fan. A state-of-the-art review on modeling the biochar effect: Guidelines for beginners [elektronický dokument]. DOI 10.1016/j.scitotenv.2021.149861 In: Science of the Total Environment: An International Journal for Scientific Research into the Environment and its Relationship with Humankind. Amsterdam: Elsevier, 2022, č. 802, [tlačená forma] [online]. ISSN 0048-9697. ISSN (online) 1879-1026


2022 [01] Başakın, Eyyup Ensar, Ekmekcioğlu, Ömer, Çıtakoğlu, Hatice, Özger, Mehmet. A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment [elektronický dokument]. DOI 10.1007/s00521-021-06424-6 In: Neural Computing and Applications. Berlín: Springer Nature. Springer International Publishing AG, 2022, Roč. 34, č. 1, 783-812 [tlačená forma] [online]. ISSN 0941-0643. ISSN (online) 1433-3058


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2022 [01] Yapıcı, E., Akgün, H., Özkan, K., Günkaya, Z., Özkan, A., Banar, M. Prediction of gas product yield from packaging waste pyrolysis: support vector and Gaussian process regression models [elektronický dokument]. DOI 10.1007/s13762-022-04013-1 In: International Journal of Environmental Science and Technology. Berlín: Springer Nature. Springer International Publishing AG, 2022, [tlačená forma]. ISSN 1735-1472. ISSN (online) 1735-2630


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2022 [01] Khan, Mehwish Shafi, Hassan, Syed Ahmad. Hydrological peaks evaluation at Chitral and Tarbela stations, Pakistan, using combined Bayesian regularized neural network and signal difference average based variational mode decomposition method: A case study [elektronický dokument]. DOI 10.2166/ws.2021.347 In: Water science and technology: water supply. London: IWA Publishing, 2022, Roč. 22, č. 2, 1375-1387 [tlačená forma]. ISSN 1606-9749. ISSN (online) 1607-0798


2022 [01] Mohammadi, Mohammadreza, Safaie, Ammar, Nejatian, Amir, Iraji Zad, Azam, Tajrishy, Massoud. Lake Urmia Water Evaporation Suppression Using Self-Assembled Coating: Case Study of Pools Near the Lake [elektronický dokument]. DOI 10.1061/(ASCE)HE.1943-5584.0002162 In: Journal of Hydrologic Engineering. Reston: American Society of Civil Engineers, 2022, Roč. 27, č. 3. ISSN 10840699. ISSN (online) 19435584


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2022 [01] Yin, Changjun, Liu, Yunfei, Gui, Dongwei, Liu, Yi, Lv, Wengai. A study on evaporation calculations of agricultural reservoirs in Hyper-Arid Areas [elektronický dokument]. DOI 10.3390/agriculture12050612 In: Agriculture. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 12, č. 5, [online]. ISSN (online) 2077-0472


2022 [01] Ehteram, Mohammad, Graf, Renata, Ahmed, Ali Najah, El-Shafie, Ahmed. Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates [elektronický dokument]. DOI 10.1007/s00477-022-02235-w In: Stochastic Environmental Research and Risk Assessment. Berlín: Springer Nature. Springer International Publishing AG, 2022, s. [tlačená forma]. ISSN 1436-3240. ISSN (online) 1436-3259


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2022 [01] Zhang, Lei, Xie, Lun, Wang, Zhiliang, Huang, Chen. Cascade parallel random forest algorithm for predicting rice diseases in big data analysis [elektronický dokument]. DOI 10.3390/electronics11071079 In: Electronics. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 11, č. 7, [online]. ISSN (online) 2079-9292


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2021 [01] Sebbar, Abderrazek, Heddam, Salim, Djemili, Lakhdar. Kernel extreme learning machines (KELM): a new approach for modeling monthly evaporation (EP) from dams reservoirs [elektronický dokument]. DOI 10.1080/02723646.2020.1776087 In: Physical Geography. Abingdon: Taylor & Francis Group, 2021, Roč. 42, č. 4, 351-373 [tlačená forma]. ISSN 0272-3646. ISSN (online) 1930-0557


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2021 [01] Rehamnia, Issam, Benlaoukli, Bachir, Jamei, Mehdi, Karbasi, Masoud, Malik, Anurag. Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria [elektronický dokument]. DOI 10.1016/j.measurement.2021.109219 In: Measurement: journal of the International Measurement Confederation. London: Institute of Measurement and Control, 2021, Roč. 176, [tlačená forma] [online]. ISSN 0263-2241. ISSN (online) 1873-412X


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2021 [01] Rianjanu, Aditya, Hidayat, Shidiq Nur, Yulianto, Nursidik, Majid, Nurhalis, Triyana, Kuwat, Wasisto, Hutomo Suryo. Sensitivity prediction and analysis of nanofiber-based gas sensors using solubility and vapor pressure parameters [elektronický dokument]. DOI 10.35848/1347-4065/ac1a8e In: Japanese Journal of Applied Physics. Tokyo: Japan Society of Applied Physics, 2021, Roč. 60, č. 10, [tlačená forma] [online]. ISSN 0021-4922. ISSN (online) 1347-4065


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2020 [01] Kawakita, Satoshi, Takahashi, Hidehiro, Moriya, Kazuyuki. Prediction and parameter uncertainty for winter wheat phenology models depend on model and parameterization method differences [elektronický dokument]. DOI 10.1016/j.agrformet.2020.107998 In: Agricultural and Forest Meteorology. Amsterdam: Elsevier. Elsevier Science, 2020, Roč. 290, [tlačená forma] [online]. ISSN 0168-1923. ISSN (online) 1873-2240


2020 [01] Le Chau, Ngoc, Tran, Ngoc Thoai, Dao, Thanh Phong. A multi-response optimal design of bistable compliant mechanism using efficient approach of desirability, fuzzy logic, ANFIS and LAPO algorithm [elektronický dokument]. DOI 10.1016/j.asoc.2020.106486 In: Applied Soft Computing: The Official Journal of the World Federation on Soft Computing (WFSC). Amsterdam: Elsevier, 2020, Roč. 94, [tlačená forma]. ISSN 1568-4946. ISSN (online) 1872-9681


2020 [01] Wang, Ran, Asghari, Vahid, Hsu, Shu Chien, Lee, Chia Jung, Chen, Jieh Haur. Detecting corporate misconduct through random forest in China's construction industry [elektronický dokument]. DOI 10.1016/j.jclepro.2020.122266 In: Journal of Cleaner Production. Oxon: Elsevier, 2020, č. 268, [tlačená forma] [online]. ISSN 0959-6526. ISSN (online) 1879-1786


ADC_008 Homaei, Mohammad Hossein, Soleimani, Faezeh, Shamshirband, Shahaboddin, Mosavi, Amir, Nabipour, Narjes, Várkonyiné Kóczy, Annamária. An Enhanced Distributed Congestion Control Method for Classical 6LowPAN Protocols Using Fuzzy Decision System [elektronický dokument]. DOI 10.1109/ACCESS.2020.2968524 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2020, č. 8, s. 20628-20645 [online]. ISSN (online) 2169-3536. https://www.webofscience.com/wos/ccc/full-record/CCC:000525391900001. https://www.webofscience.com/wos/woscc/full-record/WOS:000525391900001. https://www.scopus.com/record/display.uri?eid=2-s2.0-85079536026&origin=resultslist. [angličtina]


Ohlasy:

2022 [01] Sridhar, V., Ranga Rao, K. V., Vinay Kumar, V., Mukred, Muaadh, Ullah, Syed Sajid, Alsalman, Hussain. A Machine Learning-Based Intelligence Approach for Multiple-Input/Multiple-Output Routing in Wireless Sensor Networks [elektronický dokument]. DOI 10.1155/2022/6391678 In: Mathematical Problems in Engineering. London: Hindawi Limited, 2022, Roč. 2022, [tlačená forma] [online]. ISSN 1024-123X. ISSN (online) 1563-5147


2021 [01] Aboubakar, Moussa, Roux, Pierre, Kellil, Mounir, Bouabdallah, Abdelmadjid. A novel scheme for congestion notification in IoT low power networks In: Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management. Piscataway: [s.n.], 2021. ISBN 9783903176324


2021 [01] Le, Tien Loc. Multilayer Interval Type-2 Fuzzy Controller Design for Hyperchaotic Synchronization [elektronický dokument]. DOI 10.1109/ACCESS.2021.3126880 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2021, Roč. 9, 155286-155296 [online]. ISSN (online) 2169-3536


2021 [01] Hu, Zhi, Wang, Xiaowei, Bie, Yuxia. Game Theory Based Congestion Control for Routing in Wireless Sensor Networks [elektronický dokument]. DOI 10.1109/ACCESS.2021.3097942 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2021, Roč. 9, 103862-103874 [online]. ISSN (online) 2169-3536


2021 [01] Narayanan, V. L., Tamil Selvan, P. Energy efficient q learning based kullback sparse encoder for traffic and congestion control data delivery in wsn [elektronický dokument]. DOI 10.22075/IJNAA.2021.5440 In: International Journal of Nonlinear Analysis and Applications. Semnan: Semnan University Science and Technology Park, 2021, Roč. 12, č. 1, 2601-2618. ISSN (online) 20086822


2020 [01] Tanveer, Muhammad, Abbas, Ghulam, Abbas, Ziaul Haq. LAS-6LE: A Lightweight Authentication Scheme for 6LoWPAN Environments. DOI 10.1109/ICOSST51357.2020.9333056 In: 2020 14th International Conference on Open Source Systems and Technologies. Piscataway: Institute of Electrical and Electronics Engineers, 2020. ISBN 9781728190501


2020 [01] Han, Ruiyan, Guan, Quansheng, Yu, F. Richard, Shi, Jinglun, Ji, Fei. Congestion and Position Aware Dynamic Routing for the Internet of Vehicles [elektronický dokument]. DOI 10.1109/TVT.2020.3041948 In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. Piscataway: Institute of Electrical and Electronics Engineers, 2020, Roč. 69, č. 12, 16082-16094. ISSN 0018-9545. ISSN (online) 1939-9359


2020 [01] Ren, Weiyan, Ma, Ou, Ji, Hongxin, Liu, Xinyuan. Human Posture Recognition Using a Hybrid of Fuzzy Logic and Machine Learning Approaches [elektronický dokument]. DOI 10.1109/ACCESS.2020.3011697 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2020, Roč. 8, 135628-135639 [online]. ISSN (online) 2169-3536


ADC_009 Khakian, Reza, Karimimoshaver, Mehrdad, Aram, Farshid, Benis Soghra, Zoroufchi, Mosavi, Amir, Várkonyiné Kóczy, Annamária. Modeling Nearly Zero Energy Buildings for Sustainable Development in Rural Areas [elektronický dokument]. DOI 10.3390/en13102593 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 10, s. 1-19 [online]. ISSN (online) 1996-1073. https://www.webofscience.com/wos/ccc/full-record/CCC:000539257300185. https://www.scopus.com/record/display.uri?eid=2-s2.0-85085841681&origin=resultslist. [angličtina]


Ohlasy:

2022 [01] Elaouzy, Y., El Fadar, A. A multi-level evaluation of bioclimatic design in Mediterranean climates [elektronický dokument]. DOI 10.1016/j.seta.2022.102124 In: Sustainable energy technologies and assessments. [s.l.]: Elsevier, 2022, Roč. 52, [tlačená forma] [online]. ISSN 2213-1388. ISSN (online) 2213-1396


2022 [01] Manzoor, Bilal, Othman, Idris, Sadowska, Beata, Sarosiek, Wiesław. Zero‐energy buildings and energy efficiency towards sustainability: A bibliometric review and a case study [elektronický dokument]. DOI 10.3390/app12042136 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 12, č. 4, [online]. ISSN (online) 2076-3417


2022 [01] Saini, Lohit, Meena, Chandan Swaroop, Raj, Binju P., Agarwal, Nehul, Kumar, Ashok. Net Zero Energy Consumption building in India: An overview and initiative toward sustainable future [elektronický dokument]. DOI 10.1080/15435075.2021.1948417 In: International Journal of Green Energy. Abingdon: Taylor & Francis Group, 2022, Roč. 19, č. 5, s. 544-561 [tlačená forma]. ISSN 1543-5075. ISSN (online) 1543-5083


2022 [01] Sandhya, Y. Bhanu, Rao, K. Srinivas, Rajesh, P. Srinath, Prasad, G. R.K.D.Satya. The energy matching economics using simulation approach for implementation of nearly zero energy building [elektronický dokument]. DOI 10.1149/10701.1421ecst In: ECS Transactions. New Jersey: The Electrochemical Society, 2022, s. 1421-1430. ISBN 9781607685395. ISSN 19386737. ISSN (online) 19385862


2021 [01] Rana, Kritika. Towards passive design strategies for improving thermal comfort performance in a naturally ventilated residence [elektronický dokument]. DOI 10.5755/j01.sace.29.2.29256 In: Journal of Sustainable Architecture and Civil Engineering, 2021, Roč. 29, č. 2, s. 150-174 [tlačená forma] [online]. ISSN 2029-9990. ISSN (online) 2335-2000


2021 [01] Emil, Fady, Diab, Aya. Energy rationalization for an educational building in Egypt: Towards a zero energy building [elektronický dokument]. DOI 10.1016/j.jobe.2021.103247 In: Journal of Building Engineering. [s.l.]: Elsevier, 2021, Roč. 44, [online]. ISSN (online) 2352-7102


2021 [01] de Almeida Pais, Joséedmundo, Raposo, Hugo D.N., Farinha, Josétorres, Cardoso, Antonio J.Marques, Marques, Pedro Alexandre. Optimizing the life cycle of physical assets through an integrated life cycle assessment method [elektronický dokument]. DOI 10.3390/en14196128 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 14, č. 19, [online]. ISSN (online) 1996-1073


2021 [01] Raj, Binju P., Meena, Chandan Swaroop, Agarwal, Nehul, Saini, Lohit, Khahro, Shabir Hussain, Subramaniam, Umashankar, Ghosh, Aritra. A review on numerical approach to achieve building energy efficiency for energy, economy and environment (3e) benefit [elektronický dokument]. DOI 10.3390/en14154487 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 14, č. 15, [online]. ISSN (online) 1996-1073


2021 [01] Moghayedi, Alireza, Awuzie, Bankole, Omotayo, Temitope, Le Jeune, Karen, Massyn, Mark, Ekpo, Christiana Okobi, Braune, Manfred, Byron, Paimaan. A critical success factor framework for implementing sustainable innovative and affordable housing: A systematic review and bibliometric analysis [elektronický dokument]. DOI 10.3390/buildings11080317 In: Buildings. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 11, č. 8, [online]. ISSN (online) 2075-5309


2021 [01] Alamri, Yassir A., Albaik, Ibrahim, Mahmoud, Saad, Al-Dadah, Raya, Ismail, Mohamed A. Integration of concentrated multi-junction solar cells with small-scale organic rankine cycle [elektronický dokument]. DOI 10.1016/j.enconman.2021.114235 In: Energy Conversion and Management: An International Journal. Oxford: Elsevier. Pergamon Press, 2021, Roč. 239, [tlačená forma] [online]. ISSN 0196-8904. ISSN (online) 1879-2227


2021 [01] Alwetaishi, Mamdooh, Benjeddou, Omrane. Impact of window to wall ratio on energy loads in hot regions: A study of building energy performance [elektronický dokument]. DOI 10.3390/en14041080 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 14, č. 4, [online]. ISSN (online) 1996-1073


2021 [01] Padilla, Javier, Toledo, Carlos, López-Vicente, Rodolfo, Montoya, Raquel, Navarro, José Ramón, Abad, José, Urbina, Antonio. Passive heating and cooling of photovoltaic greenhouses including thermochromic materials [elektronický dokument]. DOI 10.3390/en14020438 In: Energies. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 14, č. 2, [online]. ISSN (online) 1996-1073


ADC_010 Band, Shahab S., Mohammadzadeh, Ardashir, Csiba, Peter, Mosavi, Amirhosein, Várkonyiné Kóczy, Annamária. Voltage Regulation for Photovoltaics-Battery-Fuel Systems Using Adaptive Group Method of Data Handling Neural Networks (GMDH-NN) [elektronický dokument]. DOI 10.1109/ACCESS.2020.3037134 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2020, Roč. 8, s. 213748-213757 [online]. ISSN (online) 2169-3536. https://www.webofscience.com/wos/ccc/full-record/CCC:000597218800001. https://www.webofscience.com/wos/woscc/full-record/WOS:000597218800001. https://www.scopus.com/record/display.uri?eid=2-s2.0-85098055101&origin=resultslist. [angličtina]


Ohlasy:

2021 [01] Amiri, Mehdi, Soleimani, Seyfollah. ML-based group method of data handling: an improvement on the conventional GMDH [elektronický dokument]. DOI 10.1007/s40747-021-00480-0 In: Complex and intelligent systems. Heidelberg: Springer Nature, 2021, Roč. 7, č. 6, 2949-2960 [tlačená forma] [online]. ISSN 2199-4536. ISSN (online) 2198-6053


ADM Vedecké práce v zahraničných časopisoch registrovaných v databázach Web of Science alebo SCOPUS

Počet výstupov: 3


ADM_001 Tusor, Balázs, Tóth, János, Várkonyiné Kóczy, Annamária. SIT-based Functional Dependency Extraction [elektronický dokument] In: Acta Polytechnica Hungarica: An international peer-reviewed scientific journal of Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section: journal of applied sciences. Budapešt: Óbudai Egyetem, 2019, Roč. 16, č. 10, s. 65-81 [tlačená forma] [online]. ISSN 1785-8860. ISSN (online) 2064-2687. [angličtina]


ADM_002 Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Ghamisi, Pedram, Filip, Ferdinánd, Várkonyiné Kóczy, Annamária, Reuter, Uwe, Rabczuk, Timon, Atkinson, Peter M. COVID-19 Outbreak Prediction with Machine Learning [elektronický dokument]. DOI 10.3390/a13100249 In: Algorithms. Basel: Multidisciplinary Digital Publishing Institute, 2020, Roč. 13, č. 10, art. no. 249, s. [1-36] [online]. ISSN (online) 1999-4893. https://www.webofscience.com/wos/woscc/full-record/WOS:000584017000001. https://www.scopus.com/record/display.uri?eid=2-s2.0-85099545833&origin=resultslist. [angličtina]


Ohlasy:

2022 [01] Şimşek, Hakan, Yangın, Elifnaz. An alternative approach to determination of Covid-19 personal risk index by using fuzzy logic [elektronický dokument]. DOI 10.1007/s12553-021-00624-9 In: Health and Technology. Heidelberg: Springer Publishing Company, 2022. ISSN 21907188. ISSN (online) 21907196


2022 [01] Pillai, Punitha Kumaresa, Durairaj, Devaraj, Samivel, Kanthammal. Deep learning-based forecasting of COVID-19 in India [elektronický dokument]. DOI 10.1520/JTE20200574 In: Journal of Testing and Evaluation. Philadelphia: ASTM International, 2022, Roč. 50, č. 1, [tlačená forma]. ISSN 0090-3973. ISSN (online) 1945-7553


2022 [01] Khurana, Savita, Sharma, Gaurav, Miglani, Neha, Singh, Aman, Alharbi, Abdullah, Alosaimi, Wael, Alyami, Hashem, Goyal, Nitin. An intelligent fine-tuned forecasting technique for covid-19 prediction using neuralprophet model [elektronický dokument]. DOI 10.32604/cmc.2022.021884 In: Computers, Materials & Continua. Henderson: Tech Science Press, 2022, Roč. 71, č. 1, 629-649 [tlačená forma]. ISSN 1546-2218. ISSN (online) 1546-2226


2022 [01] Taherinezhad, Ali, Alinezhad, Alireza. Nations performance evaluation during SARS-CoV-2 outbreak handling via data envelopment analysis and machine learning methods [elektronický dokument]. DOI 10.1080/23302674.2021.2022243 In: International Journal of Systems Science: Operations and Logistics. London: Taylor & Francis Group, 2022. ISSN 23302674. ISSN (online) 23302682


2022 [01] Ziyadidegan, Samira, Razavi, Moein, Pesarakli, Homa, Javid, Amir Hossein, Erraguntla, Madhav. Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning [elektronický dokument]. DOI 10.1007/s00477-021-02148-0 In: Stochastic Environmental Research and Risk Assessment. Berlín: Springer Nature. Springer International Publishing AG, 2022, [tlačená forma]. ISSN 1436-3240. ISSN (online) 1436-3259


2022 [01] Reis, Hatice Catal. COVID-19 diagnosis with deep learning [elektronický dokument]. DOI 10.15446/ing.investig.v42n1.88825 In: Ingenieria e Investigacion. Bogotá: Universidad Nacional de Colombia, 2022, Roč. 42, č. 1. ISSN 01205609. ISSN (online) 22488723


2022 [01] Venkateshkumar, M., Sreedevi, A. G., Lakshmanan, S. A., Yogesh kumar, K. R. Nonlinear Autoregressive Exogenous ANN Algorithm-Based Predicting of COVID-19 Pandemic in Tamil Nadu [elektronický dokument]. DOI 10.1007/978-981-16-2126-0_44 In: Lecture Notes in Networks and Systems. Berlin: Springer Science+Business Media B.V., 2022, 545-560. ISBN 9789811621253. ISSN 23673370. ISSN (online) 23673389


2022 [01] Bhattacharya, Abishek, Ghosh, Goldina, Mandal, Ratna, Ghatak, Sujata, Samanta, Debabrata, Shukla, Vinod Kumar, Mukherjee, Sabyasachi, Dutta, Soumi, Mandal, Ankita. Predictive Analysis of the Recovery Rate from Coronavirus (COVID-19) [elektronický dokument]. DOI 10.1007/978-981-16-4284-5_27 In: Lecture Notes in Networks and Systems. Berlin: Springer Nature. Springer Science+Business Media, 2022, 309-320. ISBN 9789811642838. ISSN 23673370. ISSN (online) 23673389


2022 [01] Mishra, Shashvi, Tyagi, Amit Kumar. The Role of Machine Learning Techniques in Internet of Things-Based Cloud Applications [elektronický dokument]. DOI 10.1007/978-3-030-87059-1_4 In: Internet of Things. Berlin: Springer Science+Business Media B.V., 2022, 105-135. ISSN 21991073. ISSN (online) 21991081


2022 [01] Almalki, Abrar, Gokaraju, Balakrishna, Acquaah, Yaa, Turlapaty, Anish. Regression Analysis for COVID-19 Infections and Deaths Based on Food Access and Health Issues [elektronický dokument]. DOI 10.3390/healthcare10020324 In: Healthcare. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 10, č. 2, [online]. ISSN (online) 2227-9032


2022 [01] Shahmanzari, Masoud, Tanrisever, Fehmi, Eryarsoy, Enes, Şensoy, Ahmet. Managing disease containment measures during a pandemic [elektronický dokument]. DOI 10.1111/poms.13656 In: Production and operations management. Malden: John Wiley & Sons, 2022, [tlačená forma] [online]. ISSN 1059-1478. ISSN (online) 1937-5956


2022 [01] Han, Yifei, Huang, Jinliang, Li, Rendong, Shao, Qihui, Han, Dongfeng, Luo, Xiyue, Qiu, Juan. Impact analysis of environmental and social factors on early-stage COVID-19 transmission in China by machine learning [elektronický dokument]. DOI 10.1016/j.envres.2022.112761 In: Environmental Research: A Multidisciplinary Journal of Environmental Sciences, Ecology, and Public Health. Amsterdam: Elsevier, 2022, Roč. 208, [tlačená forma]. ISSN 0013-9351. ISSN (online) 1096-0953


2022 [01] Tavakoli, Mahdieh, Tavakkoli-Moghaddam, Reza, Mesbahi, Reza, Ghanavati-Nejad, Mohssen, Tajally, Amirreza. Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study [elektronický dokument]. DOI 10.1007/s11517-022-02525-z In: Medical & Biological engineering & Computing: the journal of the International Federation for Medical and Biological Engineering. Heidelberg: Springer Nature. Springer, 2022, [tlačená forma]. ISSN 0140-0118. ISSN (online) 1741-0444


2022 [01] ArunKumar, K. E., Kalaga, Dinesh V., Mohan Sai Kumar, Ch, Kawaji, Masahiro, Brenza, Timothy M. Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends [elektronický dokument]. DOI 10.1016/j.aej.2022.01.011 In: Alexandria Engineering Journal. Amsterdam: Elsevier, 2022, Roč. 61, č. 10, 7585-7603. ISSN 1110-0168. ISSN (online) 2090-2670


2022 [01] Borovkov, Alexey I., Bolsunovskaya, Marina V., Gintciak, Aleksei M. Intelligent Data Analysis for Infection Spread Prediction [elektronický dokument]. DOI 10.3390/su14041995 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 14, č. 4, [online]. ISSN (online) 2071-1050


2022 [01] Verma, Hanuman, Mandal, Saurav, Gupta, Akshansh. Temporal deep learning architecture for prediction of COVID-19 cases in India [elektronický dokument]. DOI 10.1016/j.eswa.2022.116611 In: Expert Systems with Applications: An International Journal. Oxford: Elsevier. Pergamon Press, 2022, č. 195, [tlačená forma] [online]. ISSN 0957-4174. ISSN (online) 1873-6793


2022 [01] Samrin, Nishat Ahmed, Suzan, Md Mahmudul Hasan, Hossain, Md Selim, Mollah, Mohammad Sarwar Hossain, Haque, Md Dulal. Analysis of COVID-19 Trends in Bangladesh: A Machine Learning Analysis [elektronický dokument]. DOI 10.1007/978-3-030-90618-4_31 In: AI and IoT for Sustainable Development in Emerging Countries: Challenges and Opportunities. Berlin: Springer Nature. Springer Science+Business Media, 2022, s. 611-625 [tlačená forma] [online]. ISBN 978-3-030-90617-7. ISBN (online) 978-3-030-90618-4


2022 [01] Imad, Muhammad, Hussain, Adnan, Hassan, Muhammad Abul, Butt, Zainab, Sahar, Najm Ul. IoT Based Machine Learning and Deep Learning Platform for COVID-19 Prevention and Control: A Systematic Review [elektronický dokument]. DOI 10.1007/978-3-030-90618-4_26 In: AI and IoT for Sustainable Development in Emerging Countries: Challenges and Opportunities. Berlin: Springer Nature. Springer Science+Business Media, 2022, 523-536 [tlačená forma] [online]. ISBN 978-3-030-90617-7. ISBN (online) 978-3-030-90618-4


2022 [01] Garg, Akshit, Venkataramani, Vijay Vignesh, Karthikeyan, Akshaya, Priyakumar, U. Deva. Modern AI/ML Methods for Healthcare: Opportunities and Challenges [elektronický dokument]. DOI 10.1007/978-3-030-94876-4_1 In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Heidelberg: Springer Verlag, 2022, 3-25. ISBN 9783030948757. ISSN 03029743. ISSN (online) 16113349


2022 [01] Babu, Md Ashraful, Ahmmed, Md Mortuza, Ferdousi, Amena, Mostafizur Rahman, M., Saiduzzaman, Md, Bhatnagar, Vaibhav, Raja, Linesh, Poonia, Ramesh Chandra. The mathematical and machine learning models to forecast the COVID-19 outbreaks in Bangladesh [elektronický dokument]. DOI 10.1080/09720502.2021.2015095 In: Journal of interdisciplinary mathematics. [s.l.]: Taylor & Francis Group, 2022, [tlačená forma] [online]. ISSN 0972-0502. ISSN (online) 2169-012X


2022 [01] Arowolo, Micheal Olaolu, Ogundokun, Roseline Oluwaseun, Misra, Sanjay, Agboola, Blessing Dorothy, Gupta, Brij. Machine learning-based IoT system for COVID-19 epidemics [elektronický dokument]. DOI 10.1007/s00607-022-01057-6 In: Computing. Berlin: Springer Nature. Springer International Publishing AG, 2022, [tlačená forma] [online]. ISSN 0010-485X. ISSN (online) 1436-5057


2022 [01] Mohan, Sumit, Solanki, Anil Kumar, Taluja, Harish Kumar, Anuradha, Singh, Anuj. Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach [elektronický dokument]. DOI 10.1016/j.compbiomed.2022.105354 In: Computers in Biology and Medicine: an international journal. Amsterdam: Elsevier, 2022, Roč. 144, [tlačená forma] [online]. ISSN 0010-4825. ISSN (online) 1879-0534


2022 [01] Zhou, Binggui, Yang, Guanghua, Shi, Zheng, Ma, Shaodan. Interpretable Temporal Attention Network for COVID-19 forecasting [elektronický dokument]. DOI 10.1016/j.asoc.2022.108691 In: Applied Soft Computing: The Official Journal of the World Federation on Soft Computing (WFSC). Amsterdam: Elsevier, 2022, Roč. 120, [tlačená forma]. ISSN 1568-4946. ISSN (online) 1872-9681


2022 [01] Asif, Zunaira, Chen, Zhi, Stranges, Saverio, Zhao, Xin, Sadiq, Rehan, Olea-Popelka, Francisco, Peng, Changhui, Haghighat, Fariborz, Yu, Tong. Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review [elektronický dokument]. DOI 10.1016/j.scs.2022.103840 In: Sustainable cities and society. [Amsterdam]: Elsevier, 2022, Roč. 81, [tlačená forma] [online]. ISSN 2210-6707. ISSN (online) 2210-6715


2022 [01] Perone, Gaetano. Using the SARIMA model to forecast the fourth global wave of cumulative deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries [elektronický dokument]. DOI 10.3390/econometrics10020018 In: Econometrics, 2022, Roč. 10, č. 2. ISSN (online) 22251146


2022 [01] Comito, Carmela, Pizzuti, Clara. Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review [elektronický dokument]. DOI 10.1016/j.artmed.2022.102286 In: Artificial Intelligence in Medicine: an international journal, 2022, Roč. 128, s. [tlačená forma]. ISSN 0933-3657. ISSN (online) 1873-2860


2022 [01] Ebubeogu, Amarachukwu Felix, Ozigbu, Chamberline Ekene, Maswadi, Kholoud, Seixas, Azizi, Ofem, Paulinus, Conserve, Donaldson F. Predicting the number of COVID-19 infections and deaths in USA [elektronický dokument]. DOI 10.1186/s12992-022-00827-3 In: Globalization and health. [London]: Springer Nature. BioMed Central, 2022, Roč. 18, č. 1, [online]. ISSN (online) 1744-8603


2022 [01] Eosina, Puspa, Arymurthy, A. M., Krisnadhi, Adila Alfa. A Non-Uniform continuous cellular automata for analyzing and predicting the spreading patterns of COVID-19 [elektronický dokument]. DOI 10.3390/bdcc6020046 In: Big Data and Cognitive Computing. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 6, č. 2, [tlačená forma]. ISSN (online) 2504-2289


2022 [01] AlAlaween, Wafa' H., Faouri, Noor M., Al-Omar, Sarah H., Hendaileh, Elias M., Almousa, Aya Sama S., AlAlawin, Abdallah H., Abdallah, Omar H., Albashabsheh, Nibal T., Khorsheed, Bilal, Abueed, Omar A. A dynamic nonlinear autoregressive exogenous model for the prediction of COVID-19 cases in Jordan [elektronický dokument]. DOI 10.1080/23311916.2022.2047317 In: Cogent Engineering. Abingdon: Taylor & Francis Group, 2022, Roč. 9, č. 1, s. [online]. ISSN (online) 2331-1916


2022 [01] Munoz-Organero, Mario, Queipo-Alvarez, Paula. Deep spatiotemporal model for COVID-19 forecasting [elektronický dokument]. DOI 10.3390/s22093519 In: Sensors. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 22, č. 9, s. [online] [tlačená forma]. ISSN 1424-3210. ISSN (online) 1424-8220


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2021 [01] Bhattacharya, Sweta, Reddy Maddikunta, Praveen Kumar, Pham, Quoc Viet, Gadekallu, Thippa Reddy, Krishnan S, Siva Rama, Chowdhary, Chiranji Lal, Alazab, Mamoun, Jalil Piran, Md. Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey [elektronický dokument]. DOI 10.1016/j.scs.2020.102589 In: Sustainable cities and society. [Amsterdam]: Elsevier, 2021, Roč. 65, [tlačená forma] [online]. ISSN 2210-6707. ISSN (online) 2210-6715


2021 [01] Sharma, Amit, Baldi, Ashish, Kumar Sharma, Dinesh. How to spot COVID-19 patients: Speech & sound audio analysis for preliminary diagnosis of SARS-COV-2 corona patients [elektronický dokument]. DOI 10.1111/ijcp.14134 In: International Journal of Clinical Practice. Hoboken: John Wiley & Sons, 2021, Roč. 75, č. 6, [tlačená forma]. ISSN 1368-5031. ISSN (online) 1742-1241


2021 [01] Banyal, Siddhant, Dwivedi, Rinky, Gupta, Koyel Datta, Sharma, Deepak Kumar, Al-Turjman, Fadi, Mostarda, Leonardo. Technology landscape for epidemiological prediction and diagnosis of covid-19 [elektronický dokument]. DOI 10.32604/cmc.2021.014387 In: Computers, Materials & Continua. Henderson: Tech Science Press, 2021, Roč. 67, č. 2, 1679-1696 [tlačená forma]. ISSN 1546-2218. ISSN (online) 1546-2226. [angličtina]


2021 [01] Hasan, Ahmed Mudheher, Mahmoud, Aseel Ghazi, Hasan, Zainab Mudheher. Optimized Extreme Learning Machine for Forecasting Confirmed Cases of COVID-19 [elektronický dokument]. DOI 10.22266/ijies2021.0430.44 In: International Journal of Intelligent Engineering and Systems. Fukuoka: Intelligent Network and Systems Society, 2021, Roč. 14, č. 2, 484-494. ISSN 2185310X. ISSN (online) 21853118


2021 [01] Garetto, Michele, Leonardi, Emilio, Torrisi, Giovanni Luca. A time-modulated Hawkes process to model the spread of COVID-19 and the impact of countermeasures. DOI 10.1016/j.arcontrol.2021.02.002 In: Annual reviews in control. Oxford: Elsevier. Pergamon Press, 2021, Roč. 51, 551-563 [tlačená forma]. ISSN 1367-5788. [angličtina]


2021 [01] Podder, Prajoy, Khamparia, Aditya, Rubaiyat Hossain Mondal, M., Rahman, Mohammad Atikur, Bharati, Subrato. Forecasting the Spread of COVID-19 and ICU Requirements [elektronický dokument]. DOI 10.3991/ijoe.v17i05.20009 In: International journal of online and biomedical engineering. Viedeň: International Association of Online Engineering, 2021, Roč. 17, č. 5, 81-99 [online]. ISSN (online) 2626-8493


2021 [01] Khalilpourazari, Soheyl, Hashemi Doulabi, Hossein. Robust modelling and prediction of the COVID-19 pandemic in Canada [elektronický dokument]. DOI 10.1080/00207543.2021.1936261 In: International journal of production research. London: Taylor & Francis Group, 2021, [tlačená forma]. ISSN 0020-7543. ISSN (online) 1366-588X


2021 [01] Shah, Het, Shah, Saiyam, Tanwar, Sudeep, Gupta, Rajesh, Kumar, Neeraj. Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends [elektronický dokument]. DOI 10.1007/s00530-021-00818-1 In: Multimedia systems. New York: Springer Publishing Company, 2021. ISSN 0942-4962. ISSN (online) 1432-1882


2021 [01] Raheja, Supriya, Kasturia, Shreya, Cheng, Xiaochun, Kumar, Manoj. Machine learning-based diffusion model for prediction of coronavirus-19 outbreak [elektronický dokument]. DOI 10.1007/s00521-021-06376-x In: Neural Computing and Applications. Berlín: Springer Nature. Springer International Publishing AG, 2021, [tlačená forma] [online]. ISSN 0941-0643. ISSN (online) 1433-3058


2021 [01] Piotrowski, Adam P., Piotrowska, Agnieszka E. Differential evolution and particle swarm optimization against COVID-19 [elektronický dokument]. DOI 10.1007/s10462-021-10052-w In: Artificial Intelligence Review: An International Science and Engineering Journal . Cham: Springer Science+Business Media B.V., 2021, [tlačená forma]. ISSN 0269-2821. ISSN (online) 1573-7462


2021 [01] Brima, Yusuf, Atemkeng, Marcellin, Djiokap, Stive Tankio, Ebiele, Jaures, Tchakounté, Franklin. Transfer learning for the detection and diagnosis of types of pneumonia including pneumonia induced by COVID-19 from chest X-ray images [elektronický dokument]. DOI 10.3390/diagnostics11081480 In: Diagnostics. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 11, č. 8, [online]. ISSN (online) 2075-4418


2021 [01] Shakeel, Sheikh Muzaffar, Kumar, Nithya Sathya, Madalli, Pranita Pandurang, Srinivasaiah, Rashmi, Swamy, Devappa Renuka. Covid-19 prediction models: A systematic literature review [elektronický dokument]. DOI 10.24171/J.PHRP.2021.0100 In: Osong Public Health and Research Perspectives. Cheongju: Korea Centers for Disease Control and Prevention, 2021, Roč. 12, č. 4, 215-229. ISSN 22109099. ISSN (online) 22336052


2021 [01] Chahar, Shivam, Roy, Pradeep Kumar. COVID-19: A Comprehensive Review of Learning Models [elektronický dokument]. DOI 10.1007/s11831-021-09641-3 In: Archives of Computational Methods in Engineering. Amsterdam: Springer Nature, 2021, [tlačená forma] [online]. ISSN 1134-3060. ISSN (online) 1886-1784


2021 [01] Khedhiri, Sami. Forecasting COVID-19 infections in the Arabian Gulf region [elektronický dokument]. DOI 10.1007/s40808-021-01332-z In: Modeling earth systems and environment. Heidelberg: Springer Nature. Springer, 2021, [tlačená forma] [online]. ISSN 2363-6203. ISSN (online) 2363-6211


2021 [01] Paiva, Henrique Mohallem, Afonso, Rubens Junqueira Magalhães, Sanches, Davi Gonçalves, Pelogia, Frederico José Ribeiro. Study of the COVID-19 pandemic trending behavior in Israeli cities. DOI 10.1016/j.ifacol.2021.10.244 In: 11th IFAC Symposium on Biological and Medical Systems BMS 2021. Amsterdam: Elsevier, 2021, 133-138 [online]


2021 [01] Gupta, Yogesh, Raghuwanshi, Ghanshyam, Ahmadini, Abdullah Ali H., Sharma, Utkarsh, Mishra, Amit Kumar, Mashwani, Wali Khan, Goktas, Pinar, Alshqaq, Shokrya S., Balogun, Oluwafemi Samson. Impact of Weather Predictions on COVID-19 Infection Rate by Using Deep Learning Models. DOI 10.1155/2021/5520663 In: Complexity. Cairo: Hindawi Publishing Corporation, 2021, Roč. 2021, [online]. ISSN 1076-2787. [angličtina]


2021 [01] Khuhawar, Umrah Zadi, Siddiqui, Isma Farah, Arain, Qasim Ali, Siddiqui, Mokhi Maan, Qureshi, Nawab Muhammad Faseeh. On-Ground Distributed COVID-19 Variant Intelligent Data Analytics for a Regional Territory [elektronický dokument]. DOI 10.1155/2021/1679835 In: Wireless Communications and Mobile Computing. Londýn: Wiley-Hindawi, 2021, Roč. 2021, [online] [tlačená forma]. ISSN 1530-8669. ISSN (online) 1530-8677


2021 [01] Hasri, Hudzaifah, Aris, Siti Armiza Mohd, Ahmad, Robiah. Linear Regression and Holt's Winter Algorithm in Forecasting Daily Coronavirus Disease 2019 Cases in Malaysia: Preliminary Study. DOI 10.1109/NBEC53282.2021.9618763 In: 2021 IEEE National Biomedical Engineering Conference (NBEC). New York: Institute of Electrical and Electronics Engineers, 2021, 157-160 [online]. ISBN 9781665436076


2021 [01] Ortigoza, Gerardo, Zapata, Uriel. Covid-19 Projections: A Simple Machine Learning Approach. DOI 10.1109/ICEV52951.2021.9632647 In: 2021 IEEE International Conference on Engineering Veracruz, ICEV 2021. [s.l.]: Institute of Electrical and Electronics Engineers, 2021, [online]. ISBN 9781665445481


2021 [01] Tintín, Verónica, Florez, Hector. Artificial Intelligence and Data Science in the Detection, Diagnosis, and Control of COVID-19: A Systematic Mapping Study [elektronický dokument]. DOI 10.1007/978-3-030-87013-3_27 In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Berlin: Springer Nature. Springer Science+Business Media, 2021, 354-368. ISBN 9783030870126. ISSN 03029743. ISSN (online) 16113349


2021 [01] Mathur, Sandeep, Datta, Krishnasheesh. Prediction of Covid-19 Cases in India Through Machine Learning Using Python. DOI 10.1109/ICRITO51393.2021.9596116 In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. [s.l.]: Institute of Electrical and Electronics Engineers, 2021, [online]. ISBN 9781665417037


2020 [01] Miralles-Pechuán, Luis, Jiménez, Fernando, Ponce, Hiram, Martínez-Villaseñor, Lourdes. A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions. DOI 10.1145/3340531.3412179 In: CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New York: Association for Computing Machinery, 2020, 1135-1144 [online]. ISBN 9781450368599


2020 [01] Wieczorek, Michał, Siłka, Jakub, Woźniak, Marcin. Neural network powered COVID-19 spread forecasting model [elektronický dokument]. DOI 10.1016/j.chaos.2020.110203 In: Chaos, Solitons & Fractals: an Interdisciplinary Journal of Nonlinear Science. Amsterdam: Elsevier. Elsevier Science, 2020, Roč. 140, [tlačená forma] [online]. ISSN 0960-0779. ISSN (online) 1873-2887


2020 [01] Shahid, Farah, Zameer, Aneela, Muneeb, Muhammad. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM [elektronický dokument]. DOI 10.1016/j.chaos.2020.110212 In: Chaos, Solitons & Fractals: an Interdisciplinary Journal of Nonlinear Science. Amsterdam: Elsevier. Elsevier Science, 2020, Roč. 140, [tlačená forma] [online]. ISSN 0960-0779. ISSN (online) 1873-2887


2020 [01] Golinelli, Davide, Boetto, Erik, Carullo, Gherardo, Nuzzolese, Andrea Giovanni, Landini, Maria Paola, Fantini, Maria Pia. Adoption of digital technologies in health care during the COVID-19 pandemic: Systematic review of early scientific literature. DOI 10.2196/22280 In: Journal of Medical Internet Research. Toronto: JMIR Publications, 2020, Roč. 22, č. 11, [tlačená forma] [online]. ISSN 1438-8871


2020 [01] Jarndal, Anwar, Husain, Saddam, Zaatar, Omar, Gumaei, Talal Al, Hamadeh, Amar. GPR and ANN based Prediction Models for COVID-19 Death Cases. DOI 10.1109/CCCI49893.2020.9256564 In: 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI). New York: Institute of Electrical and Electronics Engineers, 2020, [online]. ISBN 9781728120355


2020 [01] de Lima, Clarisse Lins, da Silva, Cecilia Cordeiro, da Silva, Ana Clara Gomes, Luiz Silva, Eduardo, Marques, Gabriel Souza, de Araújo, Lucas Job Brito, Albuquerque Júnior, Luiz Antônio, de Souza, Samuel Barbosa Jatobá, de Santana, Maíra Araújo, Gomes, Juliana Carneiro, de Freitas Barbosa, Valter Augusto, Musah, Anwar, Kostkova, Patty, dos Santos, Wellington Pinheiro, da Silva Filho, Abel Guilhermino. COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19. DOI 10.3389/fpubh.2020.580815 In: Frontiers in Public Health. Lausanne: Frontiers Media, 2020, Roč. 8, [online]. ISSN 2296-2565


2020 [01] Kushwaha, Shashi, Bahl, Shashi, Bagha, Ashok Kumar, Parmar, Kulwinder Singh, Javaid, Mohd, Haleem, Abid, Singh, Ravi Pratap. Significant applications of machine learning for covid-19 pandemic [elektronický dokument]. DOI 10.1142/S2424862220500268 In: Journal of Industrial Integration and Management. Singapur: World Scientific Publishing, 2020, Roč. 5, č. 4, 453-479. ISSN 24248622. ISSN (online) 24248630


2020 [01] Liao, Zhifang, Lan, Peng, Liao, Zhining, Zhang, Yan, Liu, Shengzong. TW-SIR: time-window based SIR for COVID-19 forecasts [elektronický dokument]. DOI 10.1038/s41598-020-80007-8 In: Scientific Reports. Londýn: Springer Nature. Nature Publishing Group, 2020, Roč. 10, č. 1, [online] [tlačená forma]. ISSN (online) 2045-2322


2020 [01] Gupta, Meenu, Jain, Rachna, Gupta, Akash, Jain, Kunal. Real-time analysis of COVID-19 pandemic on most populated countries worldwide [elektronický dokument]. DOI 10.32604/cmes.2020.012467 In: Computer modeling in engineering & sciences. Henderson: Tech Science Press, 2020, Roč. 125, č. 3, 943-965 [tlačená forma]. ISSN 1526-1492. ISSN (online) 1526-1506


2020 [01] Dey, Lopamudra, Chakraborty, Sanjay, Mukhopadhyay, Anirban. Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins [elektronický dokument]. DOI 10.1016/j.bj.2020.08.003 In: Biomedical Journal. Amsterdam: Elsevier B.V., 2020, Roč. 43, č. 5, 438-450 [tlačená forma] [online]. ISSN 2319-4170. ISSN (online) 2320-2890


2020 [01] S, Magesh, V.R, Niveditha, P.S, Rajakumar, S, Radha Ram Mohan, L, Natrayan. Pervasive computing in the context of COVID-19 prediction with AI-based algorithms [elektronický dokument]. DOI 10.1108/IJPCC-07-2020-0082 In: International Journal of Pervasive Computing and Communications. Bingley: Emerald Group Publishing, 2020, Roč. 16, č. 5, 477-487 [tlačená forma] [online]. ISSN 1742-7371. ISSN (online) 1742-738X


2020 [01] Fayyoumi, Ebaa, Idwan, Sahar, Aboshindi, Heba. Machine learning and statistical modelling for prediction of Novel COVID-19 patients case study: Jordan [elektronický dokument]. DOI 10.14569/IJACSA.2020.0110518 In: International Journal of Advanced Computer Science and Applications. Bradford: Science and Information (SAI) Organization, 2020, Roč. 11, č. 5, 122-126 [tlačená forma]. ISSN 2158-107X. ISSN (online) 2156-5570


2020 [01] Mirri, Silvia, Delnevo, Giovanni, Roccetti, Marco. Is a COVID-19 second wave possible in Emilia-Romagna (Italy)? Forecasting a future outbreak with particulate pollution and machine learning [elektronický dokument]. DOI 10.3390/computation8030074 In: Computation. Basel: Multidisciplinary Digital Publishing Institute, 2020, Roč. 8, č. 3, [online]. ISSN (online) 2079-3197


2020 [01] Asteris, Panagiotis G., Douvika, Maria G., Karamani, Chrysoula A., Skentou, Athanasia D., Chlichlia, Katerina, Cavaleri, Liborio, Daras, Tryfon, Armaghani, Danial J., Zaoutis, Theoklis E. A novel heuristic algorithm for the modeling and risk assessment of the covid-19 pandemic phenomenon [elektronický dokument]. DOI 10.32604/CMES.2020.013280 In: Computer modeling in engineering & sciences. Henderson: Tech Science Press, 2020, Roč. 125, č. 2, 815-828 [tlačená forma]. ISSN 1526-1492. ISSN (online) 1526-1506


2020 [01] Xie, Hailun, Zhang, Li, Lim, Chee Peng. Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer [elektronický dokument]. DOI 10.1109/ACCESS.2020.3021527 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2020, Roč. 8, 161519-161541 [online]. ISSN (online) 2169-3536


2020 [01] Prashanth, B., Neelima, G., Dule, Chhaya S., Chandra Prakash, T., Tarun Reddy, S. Data Science and Machine Learning Integrated Implementation Patterns for Cavernous Knowledge Discovery from COVID-19 Data. DOI 10.1088/1757-899X/981/2/022004 In: 2020 International Conference on Recent Advancements in Engineering and Management. Bristol: Institute of Physics. IOP Publishing, 2020, [online]


2020 [01] Kumar, Sachin, Veer, Karan. Forecasting of Covid-19 cases using machine learning approach [elektronický dokument]. DOI 10.2174/1573398X17666210129131009 In: Current Respiratory Medicine Reviews. [s.l.]: Bentham Science Publishers, 2020, Roč. 16, č. 4, 240-245 [tlačená forma] [online]. ISSN 1573-398X. ISSN (online) 1875-6387


2020 [01] Shilbayeh, Samar A., Abonamah, Abdullah, Masri, Ahmad A. Partially versus purely data-driven approaches in SARS-CoV-2 prediction [elektronický dokument]. DOI 10.3390/app10165696 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 10, č. 16, [online]. ISSN (online) 2076-3417


2020 [01] Smit, Albertus J., Fitchett, Jennifer M., Engelbrecht, Francois A., Scholes, Robert J., Dzhivhuho, Godfrey, Sweijd, Neville A. Winter is coming: A southern hemisphere perspective of the environmental drivers of sars-cov-2 and the potential seasonality of covid-19 [elektronický dokument]. DOI 10.3390/ijerph17165634 In: International journal of environmental research and public health: open access journal. Basel: Multidisciplinary Digital Publishing Institute, 2020, Roč. 17, č. 16, 1-28 [online] [tlačená forma]. ISSN 1661-7827. ISSN (online) 1660-4601


2020 [01] Ghamizi, Salah, Rwemalika, Renaud, Cordy, Maxime, Veiber, Lisa, Bissyandé, Tegawendé F., Papadakis, Mike, Klein, Jacques, Le Traon, Yves. Data-driven Simulation and Optimization for Covid-19 Exit Strategies. DOI 10.1145/3394486.3412863 In: KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York: Assoc Computing Machinery, 2020, 3434-3442. ISBN 978-1-4503-7998-4


2020 [01] Prakash, Anupam, Sharma, Piyush, Sinha, Indrajeet Kumar, Singh, Upendra Pratap. Spread Peak Prediction of Covid-19 using ANN and Regression (Workshop Paper). DOI 10.1109/BigMM50055.2020.00062 In: 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM). Piscataway: Institute of Electrical and Electronics Engineers, 2020, 356-365 [online]. ISBN 9781728193250


2020 [01] De Moura, Luis Vinicius, Dartora, Caroline Mac Hado, De Oliveira, Christian Mattjie, Barros, Rodrigo Coelho, Da Silva, Ana Maria Marques. A Novel Approach to Differentiate COVID-19 Pneumonia in Chest X-ray. DOI 10.1109/BIBE50027.2020.00078 In: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). New York: Institute of Electrical and Electronics Engineers, 2020, 446-451 [online]. ISBN 9781728195742


2020 [01] Nikil, Ch H.V.S.S., Dalmia, Hemlata, Pavan Kumar, G. Janaki Rama. Covid-19 outbreak analysis. DOI 10.1109/ICSTCEE49637.2020.9276790 In: 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE). Piscataway: Institute of Electrical and Electronics Engineers, 2020, 347-350 [online]. ISBN 9781728172132


2020 [01] Sinha, Indrajeet Kumar, Singh, Krishna Pratap, Verma, Shekhar. DP-ANN: A new Differential Private Artificial Neural Network with Application on Health data (Workshop Paper). DOI 10.1109/BigMM50055.2020.00061 In: 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM). Piscataway: Institute of Electrical and Electronics Engineers, 2020, 351-355 [online]. ISBN 9781728193250


2020 [01] Gambhir, Ekta, Jain, Ritika, Gupta, Alankrit, Tomer, Uma. Regression Analysis of COVID-19 using Machine Learning Algorithms. DOI 10.1109/ICOSEC49089.2020.9215356 In: 2020 International Conference on Smart Electronics and Communication (ICOSEC). Piscataway: Institute of Electrical and Electronics Engineers, 2020, 65-71 [online]. ISBN 9781728154619


2020 [01] Ionescu, Valeriu Manuel, Enescu, Florentina Magda. Web application for timeline representation of COVID-19 data in Romania. DOI 10.1109/ECAI50035.2020.9223251 In: 2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). Piscataway: Institute of Electrical and Electronics Engineers, 2020, [online]. ISBN 9781728168432


2020 [01] Althnian, Alhanoof, Elwafa, Afnan Abou, Aloboud, Nourah, Alrasheed, Hend, Kurdi, Heba. Prediction of COVID-19 individual susceptibility using demographic data: A case study on Saudi Arabia [elektronický dokument]. DOI 10.1016/j.procs.2020.10.051 In: 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. Amsterdam: Elsevier, 2020, [online]. ISSN (online) 1877-0509. [angličtina]


ADM_003 Tusor, Balázs, Várkonyiné Kóczy, Annamária. Fast Regular and Interval-based Classification, using parSITs [elektronický dokument]. DOI 10.12700/APH.18.6.2021.6.6 In: Acta Polytechnica Hungarica: An international peer-reviewed scientific journal of Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section: journal of applied sciences. Budapešt: Óbudai Egyetem, 2021, Roč. 18, č. 6, 107-125 [tlačená forma] [online]. ISSN 1785-8860. ISSN (online) 2064-2687. [angličtina]


AEC Vedecké práce v zahraničných recenzovaných vedeckých zborníkoch, monografiách

Počet výstupov: 3


AEC_001 Dineva, Adrienn Alexandra, Tar, József, Várkonyiné Kóczy, Annamária, Tóth, János, Piuri, Vincenzo. Non-conventional Control Design by Sigmoid Generated Fixed Point Transformation Using Fuzzy Approximation [elektronický dokument]. DOI 10.1007/978-3-319-78437-3_1 In: Practical Issues of Intelligent Innovations. Cham: Springer Nature, 2018, s. 1-15 [tlačená forma] [online]. ISBN 978-3-319-78436-6. ISBN 978-3-030-08698-5. ISBN (online) 978-3-319-78437-3. [angličtina]


AEC_002 Várkonyiné Kóczy, Annamária, Hancsicska, Sándor, Bukor, József. Fuzzy information measure for improving HDR imaging. DOI 10.1007/978-3-319-32229-2_9 In: Studies in Fuzziness and Soft Computing, s. 113-126. ISSN 1434-9922. [angličtina]


Ohlasy:

2021 [01] Kiran, Bagadi Ravi, Kumari, Vatsavayi Valli, Raju, K. V. S. V. N. Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion [elektronický dokument]. DOI 10.1515/jisys-2018-0412 In: Journal of Intelligent Systems. Berlin: Walter De Gruyter GMBH, 2021, Roč. 30, č. 1, [tlačená forma] [online]. ISSN 0334-1860. ISSN (online) 2191-026X


AEC_003 Tar, József K., Bitó, János F., Várkonyiné Kóczy, Annamária, Dineva, Adrienn Alexandra. Symbiosis of RFPT-based Adaptivity and the Modified Adaptive Inverse Dynamics Controller In: Advances in Soft Computing, Intelligent Robotics and Control : Topics in Intelligent Engineering and Informatics 8. Switzerland : Springer International Publishing, 2014: N/A. ISBN 978-3-319-05944-0. ISSN 2193-9411. [angličtina]


AFC Publikované príspevky na zahraničných vedeckých konferenciách

Počet výstupov: 30


AFC_001 Várkonyiné Kóczy, Annamária, Tusor, Balázs, Tóth, János. A fuzzy shape extraction method [elektronický dokument]. DOI 10.1007/978-3-319-75408-6_29 In: Recent developments and the new direction in soft-computing foundations and applications: selected papers from the 6th world conference on soft computing, May 22-25, 2016, Berkeley, USA. [s.l.]: Springer Nature. Springer International Publishing AG, 2018, s. 383-395. ISBN 978-3-319-75407-9. ISBN (online) 978-3-319-75408-6. [angličtina]


AFC_002 Bukor, József, Tusor, Balázs, Várkonyiné Kóczy, Annamária. A fast line extraction method based on basic segment grouping [elektronický dokument]. DOI 10.1109/I2MTC.2018.8409852 In: 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Piscataway: Institute of Electrical and Electronics Engineers, 2018, s. 1-6 [online]. ISBN (online) 978-1-5386-2222-3. [angličtina]


AFC_003 Mosavi, Amir, Rituraj, Rituraj, Várkonyiné Kóczy, Annamária. Review on the usage of the multiobjective optimization package of modeFrontier in the energy sector [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_28 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 217-224 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


AFC_004 Mosavi, Amir, Bathla, Yatish, Várkonyiné Kóczy, Annamária. Predicting the future using web knowledge: State of the art survey [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_42 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 341-349 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


AFC_005 Mousavi, Seyedmajid, Mousavi, Amir, Várkonyiné Kóczy, Annamária. A load balancing algorithm for resource allocation in cloud computing [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_36 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 289-296 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


Ohlasy:

2021 [01] Chang, Zhangyu, Chan, S. H.Gary. An Approximation Algorithm to Maximize User Capacity for an Auto-Scaling VoD System [elektronický dokument]. DOI 10.1109/TMM.2020.3031068 In: IEEE Transactions on Multimedia. Piscataway: Institute of Electrical and Electronics Engineers, 2021, Roč. 23, 3714-3725 [tlačená forma] [online]. ISSN 1520-9210. ISSN (online) 1941-0077


AFC_006 Mosavi, Amir, Lopez, Alvaro, Várkonyiné Kóczy, Annamária. Industrial applications of big data: State of the art survey [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_29 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 225-232 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


AFC_007 Mosavi, Amir, Rabczuk, Timon, Várkonyiné Kóczy, Annamária. Reviewing the novel machine learning tools for materials design [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_7 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 50-58 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


Ohlasy:

2022 [01] Wang, Jia, Wang, Yingxue, Chen, Yanan. Inverse Design of Materials by Machine Learning [elektronický dokument]. DOI 10.3390/ma15051811 In: Materials. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 15, č. 5, [online]. ISSN (online) 1996-1944


2021 [01] Melia, Hannah R., Muckley, Eric S., Saal, James E. Materials informatics and sustainability-The case for urgency [elektronický dokument]. DOI 10.1017/dce.2021.19 In: Data-Centric Engineering. Cambridge: Cambridge University Press, 2021, Roč. 2, č. 40. ISSN (online) 26326736


2021 [01] Latif, Sohaib, XianWen, Fang, Wang, Li Li. Intelligent decision support system approach for predicting the performance of students based on three-level machine learning technique [elektronický dokument]. DOI 10.1515/jisys-2020-0065 In: Journal of Intelligent Systems. Berlin: Walter De Gruyter GMBH, 2021, Roč. 30, č. 1, 739-749 [tlačená forma] [online]. ISSN 0334-1860. ISSN (online) 2191-026X


2021 [01] Meliho, Modeste, Khattabi, Abdellatif, Asinyo, Joseph. Spatial modeling of flood susceptibility using machine learning algorithms [elektronický dokument]. DOI 10.1007/s12517-021-08610-1 In: Arabian Journal of Geosciences. Heidelberg: Springer Publishing Company, 2021, Roč. 14, č. 21, [tlačená forma]. ISSN 1866-7511. ISSN (online) 1866-7538


2021 [01] Hashi, Abdirahman Osman, Abdirahman, Abdullahi Ahmed, Elmi, Mohamed Abdirahman, Hashi, Siti Zaiton Mohd, Rodriguez, Octavio Ernesto Romo. A real-time flood detection system based on machine learning algorithms with emphasis on deep learning [elektronický dokument]. DOI 10.14445/22315381/IJETT-V69I5P232 In: International Journal of Engineering Trends and Technology. Tiruččiráppalli: Seventh Sense Research Group, 2021, Roč. 69, č. 5, 249-256 [tlačená forma] [online]. ISSN 2349-0918. ISSN (online) 2231-5381


2021 [01] Koya, Bhanu P., Aneja, Sakshi, Gupta, Rishi, Valeo, Caterina. Comparative analysis of different machine learning algorithms to predict mechanical properties of concrete [elektronický dokument]. DOI 10.1080/15376494.2021.1917021 In: Mechanics of Advanced Materials and Structures. Philadelphia: Taylor & Francis Group, 2021, [tlačená forma]. ISSN 1537-6494. ISSN (online) 1537-6532


2021 [01] Barnat-Hunek, Danuta, Omiotek, Zbigniew, Szafraniec, Małgorzata, Dzierżak, Róża. An integrated texture analysis and machine learning approach for durability assessment of lightweight cement composites with hydrophobic coatings modified by nanocellulose [elektronický dokument]. DOI 10.1016/j.measurement.2021.109538 In: Measurement: journal of the International Measurement Confederation. London: Institute of Measurement and Control, 2021, Roč. 179, [tlačená forma] [online]. ISSN 0263-2241. ISSN (online) 1873-412X


2021 [01] Hashi, Abdirahman Osman, Abdirahman, Abdullahi Ahmed, Elmi, Mohamed Abdirahman, Hashim, Siti Zaiton Mohd. A Real Time Flood Detection System Based on Machine Learning Algorithms [elektronický dokument]. DOI 10.1007/978-3-030-70713-2_34 In: Innovative systems for intelligent health informatics. IRICT 2020. Cham: Springer Nature. Springer, 2021, s. 364-373 [tlačená forma] [online]. ISBN 978-3-030-70712-5. ISBN (online) 978-3-030-70713-2


2021 [01] Imran, Mirza, Sheikh Abdul Khader, P., Rafiq, Mohammd, Singh Rawat, Kishan. Forecasting water level of Glacial fed perennial river using a genetically optimized hybrid Machine learning model [elektronický dokument]. DOI 10.1016/j.matpr.2021.02.256 In: Materials Today: Proceedings. [s.l.] : [s.n.], 2021, 11113-11119. ISSN (online) 22147853


2020 [01] Xu, Zhaoyi, Saleh, Joseph Homer, Subagia, Rachmat. Machine learning for helicopter accident analysis using supervised classification: Inference, prediction, and implications [elektronický dokument]. DOI 10.1016/j.ress.2020.107210 In: Reliability Engineering & System Safety. Barking: Elsevier, 2020, Roč. 204, [tlačená forma]. ISSN 0951-8320. ISSN (online) 1879-0836


2019 [01] Bukovskiy, M. E., Semenova, A. V. Analysis of the effects of climatic factors on flood peak formation. DOI 10.1088/1755-1315/386/1/012034 In: 9th International Conference on Computational Information Technologies for Environmental Sciences, CITES 2019 and International Young Scientists School 2019. Bristol: Institute of Physics Publishing, 2019, [tlačená forma] [online]


2019 [01] Lu, Y., Blal, N., Gravouil, A. Datadriven HOPGD based computational vademecum for welding parameter identification [elektronický dokument]. DOI 10.1007/s00466-018-1656-8 In: Computational Mechanics: theory and application. Berlin: Springer Verlag, 2019, Roč. 64, č. 1, 47-62 [tlačená forma]. ISSN 0178-7675. ISSN (online) 1432-0924


2018 [01] Bui, Dac Khuong, Nguyen, Tuan, Chou, Jui Sheng, Nguyen-Xuan, H., Ngo, Tuan Duc. A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete. DOI 10.1016/j.conbuildmat.2018.05.201 In: Construction and Building Materials: An international journal dedicated to the investigation and innovative use of materials in construction and repair. Amsterdam: Elsevier, 2018, Roč. 180, 320-333 [tlačená forma]. ISSN 0950-0618


AFC_008 Baranyai, Marcell, Mosavi, Amir, Vajda, István, Várkonyiné Kóczy, Annamária. Optimal design of electrical machines: State of the art survey [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_27 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 209-216 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


AFC_009 Tusor, Balázs, Várkonyiné Kóczy, Annamária, Tóth, János. A fuzzy data structure for variable length data and missing value classification [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_37 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 297-304 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


AFC_010 Mosavi, Amir, Benkreif, Rami, Várkonyiné Kóczy, Annamária. Comparison of Euler-Bernoulli and Timoshenko beam equations for railway system dynamics [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_5 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 32-40 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


Ohlasy:

2020 [01] Gaur, Akash, Dhurvey, Priyanka. Comparative Study of Beam Theories on the Effect of Span-Depth Ratio for Symmetric and Un-symmetric Loadings. DOI 10.1088/1757-899X/936/1/012047 In: International Conference on Materials, Mechanics and Structures 2020. Bristol: Institute of Physics. IOP Publishing, 2020, [online]


2020 [01] Zhang, Xianying, Thompson, David, Sheng, Xiaozhen. Differences between Euler-Bernoulli and Timoshenko beam formulations for calculating the effects of moving loads on a periodically supported beam [elektronický dokument]. DOI 10.1016/j.jsv.2020.115432 In: Journal of Sound and Vibration, 2020, Roč. 481, [tlačená forma]. ISSN 0022-460X. ISSN (online) 1095-8568


AFC_011 Dineva, Adrienn Alexandra, Tusor, Balázs, Csiba, Peter, Várkonyiné Kóczy, Annamária. Robot control in ispace by applying weighted likelihood function [elektronický dokument]. DOI 10.1007/978-3-319-67459-9_31 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 243-248 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


Ohlasy:

2018 [01] Nagy, István, Tuloki, Szilárd. Fault Analysis and System Modelling in Vehicle Engineering. DOI 10.1109/CINTI.2018.8928203 In: 2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI). New York: IEEE, 2018, 313-317 [online]. ISBN 9781728111179


AFC_012 Dineva, Adrienn Alexandra, Várkonyiné Kóczy, Annamária, Piuri, Vincenzo, Tar, József. Point cloud processing with the combination of fuzzy information measure and wavelets [elektronický dokument]. DOI 10.1007/978-3-319-62521-8_39 In: Recent Advances in Technology Research and Education: Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Cham: Springer Nature. Springer International Publishing AG, 2018, s. 455-461 [tlačená forma] [online]. ISBN 978-33-19674-58-2. ISBN (online) 978-3-319-67459-9. [angličtina]


AFC_013 Gobor, Zoltán, Ódry, Péter, Várkonyiné Kóczy, Annamária. Preliminary Considerations in the Design of a Sensor for Improving the Reference Trajectory Calculation for the Individual Leg of a Hexapod. DOI 10.1109/SISY.2018.8524858 In: SISY 2018: IEEE 16th International Symposium on Intelligent Systems and Informatics. Piscataway: Institute of Electrical and Electronics Engineers, 2018, s. 57-62 [online]. ISBN 978-1-5386-6841-2. ISBN (chybné) 978-153866840-5. [angličtina]


AFC_014 Tusor, Balázs, Várkonyiné Kóczy, Annamária, Bukor, József. An iSpace-based Dietary Advisor. DOI 10.1109/MeMeA.2018.8438705 In: MeMeA 2018 - 2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings. Piscataway: Institute of Electrical and Electronics Engineers. IEEE Instrumentation and Measurement Society, 2018, s. 1035-1041. ISBN 978-15-3863-391-5. [angličtina]


AFC_015 Tusor, Balázs, Várkonyiné Kóczy, Annamária, Bukor, József. A Parallel Fuzzy Filter Network for Pattern Recognition [elektronický dokument]. DOI 10.1007/978-3-319-99834-3_36 In: Recent advances in technology research and education: proceedings of the 17th international conference on global research and education. Cham : Springer Nature, 2019, s. 275-282. ISBN 978-3-319-99833-6. ISBN (online) 978-3-319-99834-3. [angličtina]


AFC_016 Torabi, Mehrnoosh, Mosavi, Amir, Ozturk, Pinar, Várkonyiné Kóczy, Annamária, Vajda, István. A Hybrid Machine Learning Approach for Daily Prediction of Solar Radiation [elektronický dokument]. DOI 10.1007/978-3-319-99834-3_35 In: Recent advances in technology research and education: proceedings of the 17th international conference on global research and education. Cham : Springer Nature, 2019, s. 266-275. ISBN 978-3-319-99833-6. ISBN (online) 978-3-319-99834-3. [angličtina]


Ohlasy:

2021 [01] Ammar, Mohsen Ben, Ammar, Rim Ben, Oualha, Abdelmajid. Photovoltaic Power Prediction for Solar Car Park Lighting Office Energy Management [elektronický dokument]. DOI 10.1115/1.4048060 In: Journal of energy resources technology. New York: American Society of Mechanical Engineers, 2021, Roč. 143, č. 3, [tlačená forma] [online]. ISSN 0195-0738. ISSN (online) 1528-8994


2021 [01] Bakay, Melahat Sevgül, Ağbulut, Ümit. Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms [elektronický dokument]. DOI 10.1016/j.jclepro.2020.125324 In: Journal of Cleaner Production. Oxon: Elsevier, 2021, č. 285, [tlačená forma] [online]. ISSN 0959-6526. ISSN (online) 1879-1786


2021 [01] Ağbulut, Ümit, Gürel, Ali Etem, Sarıdemir, Suat. Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles–diesel blends using different machine learning algorithms [elektronický dokument]. DOI 10.1016/j.energy.2020.119076 In: Energy: the International Journal. Londýn: Elsevier, 2021, Roč. 215, [tlačená forma] [online]. ISSN 0360-5442. ISSN (online) 1873-6785


2021 [01] Elzaidi, Abdulrazak, Masek, Vlastimil, Bruneau, Stephen. Marine icing sensor with phase discrimination [elektronický dokument]. DOI 10.3390/s21020612 In: Sensors. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 21, č. 2, 1-13 [online] [tlačená forma]. ISSN 1424-3210. ISSN (online) 1424-8220


2021 [01] Riahi, Shirin, Abedini, Elham, Vakili, Masoud, Riahi, Mobina. Providing an accurate global model for monthly solar radiation forecasting using artificial intelligence based on air quality index and meteorological data of different cities worldwide [elektronický dokument]. DOI 10.1007/s11356-021-14126-8 In: Environmental Science and Pollution Research. Heidelberg: Springer Nature. Springer International Publishing AG, 2021, Roč. 28, č. 36, 49697-49724 [tlačená forma] [online]. ISSN 0944-1344. ISSN (online) 1614-7499


2020 [01] He, Chuan, Liu, Jiandong, Xu, Fang, Zhang, Teng, Chen, Shang, Sun, Zhe, Zheng, Wenhui, Wang, Runhong, He, Liang, Feng, Hao, Yu, Qiang, He, Jianqiang. Improving solar radiation estimation in China based on regional optimal combination of meteorological factors with machine learning methods [elektronický dokument]. DOI 10.1016/j.enconman.2020.113111 In: Energy Conversion and Management: An International Journal. Oxford: Elsevier. Pergamon Press, 2020, Roč. 220, [tlačená forma] [online]. ISSN 0196-8904. ISSN (online) 1879-2227


2020 [01] Lai, Jung Pin, Chang, Yu Ming, Chen, Chieh Huang, Pai, Ping Feng. A survey of machine learning models in renewable energy predictions [elektronický dokument]. DOI 10.3390/app10175975 In: Applied sciences. Bazilej: Multidisciplinary Digital Publishing Institute, 2020, Roč. 10, č. 17, [online]. ISSN (online) 2076-3417


2020 [01] Kosovic, Ivana Nizetic, Mastelic, Toni, Ivankovic, Damir. Using Artificial Intelligence on environmental data from Internet of Things for estimating solar radiation: Comprehensive analysis [elektronický dokument]. DOI 10.1016/j.jclepro.2020.121489 In: Journal of Cleaner Production. Oxon: Elsevier, 2020, č. 266, [tlačená forma] [online]. ISSN 0959-6526. ISSN (online) 1879-1786


2020 [01] Dong, Jianhua, Wu, Lifeng, Liu, Xiaogang, Fan, Cheng, Leng, Menghui, Yang, Qiliang. Simulation of daily diffuse solar radiation based on three machine learning models [elektronický dokument]. DOI 10.32604/cmes.2020.09014 In: Computer modeling in engineering & sciences. Henderson: Tech Science Press, 2020, Roč. 123, č. 1, 49-73 [tlačená forma]. ISSN 1526-1492. ISSN (online) 1526-1506


2020 [01] Nosratabadi, Saeed, Mosavi, Amir, Keivani, Ramin, Ardabili, Sina, Aram, Farshid. State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_22 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 228-238 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8


2019 [01] Danial Mohammadzadeh, S., Kazemi, Seyed Farzan, Mosavi, Amir, Nasseralshariati, Ehsan, Tah, Joseph H.M. Prediction of compression index of fine-grained soils using a gene expression programming model [elektronický dokument]. DOI 10.3390/infrastructures4020026 In: Infrastructures. Bazilej: Multidisciplinary Digital Publishing Institute, 2019, Roč. 4, č. 2, [online]. ISSN (online) 2412-3811


2019 [01] AlKandari, Mariam, Ahmad, Imtiaz. Solar power generation forecasting using ensemble approach based on deep learning and statistical methods [elektronický dokument]. DOI 10.1016/j.aci.2019.11.002 In: Applied Computing and Informatics. [s.l.]: Emerald Group Publishing, 2019, [online]. ISSN 2634-1964. ISSN (online) 2210-8327


2018 [01] Mosavi, Amir, Ozturk, Pinar, Chau, Kwok wing. Flood prediction using machine learning models: Literature review [elektronický dokument]. DOI 10.3390/w10111536 In: Water. Bazilej: Multidisciplinary Digital Publishing Institute, 2018, Roč. 10, č. 11, [online]. ISSN (online) 2073-4441


AFC_017 Tusor, Balázs, Bukor, József, Várkonyiné Kóczy, Annamária. Parallelized fuzzy RBF and FHM based color filtering for real-time image processing. DOI 10.1109/I2MTC.2019.8826831 In: 2019 International Instrumentation and Measurement Technology Conference. Auckland: Institute of Electrical and Electronics Engineers, 2019, s. 1-6. ISBN 978-15-38634-60-8. ISSN 1091-5281. https://i2mtc2019.ieee-ims.org/index.php/pages/home. [angličtina]


AFC_018 Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Várkonyiné Kóczy, Annamária. Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_2 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 19-32 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


Ohlasy:

2021 [01] Mitrovic, Katarina, Milosevic, Danijela. Classification of Malaria-Infected Cells using Convolutional Neural Networks [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465636 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 323-328. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


AFC_019 Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Mahmoudi, Asghar, Gundoshmian, Tarahom Mestri, Nostratabadi, Saeed, Várkonyiné Kóczy, Annamária. Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_3 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 33-45 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


Ohlasy:

2022 [01] Nikitjuk, Yuri, Bayevich, Georgy, Myshkovets, Victor, Maximenko, Alexander, Aushev, Igor. Characterization of laser welding of steel 30XГCH2A by combining artificial neural networks and finite element method. DOI 10.1007/978-981-19-0379-3_28 In: Research and Education: Traditions and Innovations: Proceedings of the 19th International Conference on Global Research and Education (Inter-Academia 2021). Singapur: Springer Nature. Springer, 2022, s. 273-279. ISBN 9789811903786


2022 [01] Roshan, Shiva Hassanjani, Kazemitabar, Javad, Kheradmandian, Ghorban. Artificial intelligence aided agricultural sensors for plant frostbite protection [elektronický dokument]. DOI 10.1080/08839514.2022.2031814 In: Applied Artificial Intelligence: an international journal. [s.l.]: Taylor & Francis Group, 2022, [tlačená forma]. ISSN 0883-9514. ISSN (online) 1087-6545


2021 [01] Mavani, Nidhi Rajesh, Ali, Jamal Abd, Othman, Suhaili, Hussain, Mohd Azlan, Hashim, Haslaniza, Rahman, Norliza Abd. Application of artificial intelligence in food industry—a guideline [elektronický dokument]. DOI 10.1007/s12393-021-09290-z In: Food Engineering Reviews, 2021. ISSN 18667910. ISSN (online) 18667929


AFC_020 Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Dehghani, Majid, Várkonyiné Kóczy, Annamária. Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_5 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 52-64 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


Ohlasy:

2022 [01] Singha, Soumya S., Singha, Sudhakar, Pasupuleti, Srinivas, Venkatesh, A. S. Knowledge-driven and machine learning decision tree-based approach for assessment of geospatial variation of groundwater quality around coal mining regions, Korba district, Central India [elektronický dokument]. DOI 10.1007/s12665-021-10147-1 In: Environmental Earth Sciences. New York: Springer Nature. Springer International Publishing AG, 2022, Roč. 81, č. 2, [tlačená forma] [online]. ISSN 1866-6280. ISSN (online) 1866-6299


2022 [01] Bai, Tao, Tahmasebi, Pejman. Characterization of groundwater contamination: A transformer-based deep learning model. DOI 10.1016/j.advwatres.2022.104217 In: Advances in Water Resources. Kidlington,Oxford: Elsevier. Pergamon Press, 2022, Roč. 164, [tlačená forma]. ISSN 0309-1708


2022 [01] Jougla, Renaud, Leconte, Robert. Short-term hydrological forecast using artificial neural network models with different combinations and spatial representations of hydrometeorological inputs [elektronický dokument]. DOI 10.3390/w14040552 In: Water. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 14, č. 4, s. [online]. ISSN (online) 2073-4441


2022 [01] Kwak, Jaewon, Han, Heechan, Kim, Soojun, Kim, Hung Soo. Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea [elektronický dokument]. DOI 10.1007/s00477-021-02094-x In: Stochastic Environmental Research and Risk Assessment. Berlín: Springer Nature. Springer International Publishing AG, 2022, Roč. 36, č. 6, s. 1615-1629 [tlačená forma]. ISSN 1436-3240. ISSN (online) 1436-3259


2022 [01] Jin, Di, Sergeeva, Elena, Weng, Wei-Hung, Chauhan, Geeticka, Szolovits, Peter. Explainable deep learning in healthcare: A methodological survey from an attribution view. DOI 10.1002/wsbm.1548 In: WIREs mechanisms of disease. Hoboken: John Wiley & Sons, 2022, s. [online]. ISSN 2692-9368


2022 [01] Mehr, Ali Danandeh, Ghiasi, Amir Rikhtehgar, Yaseen, Zaher Mundher, Sorman, Ali Unal, Abualigah, Laith. A novel intelligent deep learning predictive model for meteorological drought forecasting [elektronický dokument]. DOI 10.1007/s12652-022-03701-7 In: Journal of Ambient Intelligence and Humanized Computing. [s.l.]: Springer Nature. Springer, 2022, s. [tlačená forma] [online]. ISSN 1868-5137. ISSN (online) 1868-5145


2022 [01] Nourani, Meysam, Alali, Najeh, Samadianfard, Saeed, Band, Shahab S., Chau, Kwok wing, Shu, Chi Min. Comparison of machine learning techniques for predicting porosity of chalk [elektronický dokument]. DOI 10.1016/j.petrol.2021.109853 In: Journal of Petroleum Science and Engineering. Amsterdam: Elsevier, 2022, Roč. 209, [tlačená forma]. ISSN 0920-4105. ISSN (online) 1873-4715


2022 [01] Gharbia, Salem, Riaz, Khurram, Anton, Iulia, Makrai, Gabor, Gill, Laurence, Creedon, Leo, McAfee, Marion, Johnston, Paul, Pilla, Francesco. Hybrid Data-Driven Models for Hydrological Simulation and Projection on the Catchment Scale [elektronický dokument]. DOI 10.3390/su14074037 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2022, Roč. 14, č. 7, [online]. ISSN (online) 2071-1050. [angličtina]


2022 [01] Ho, Hung Viet, Nguyen, Duc Hai, Le, Xuan Hien, Lee, Giha. Multi-step-ahead water level forecasting for operating sluice gates in Hai Duong, Vietnam [elektronický dokument]. DOI 10.1007/s10661-022-10115-7 In: Environmental Monitoring and Assessment: An International Journal Devoted to Progress in the Use of Monitoring Data in Assessing Environmental Risks to Man and the Environment. Dordrecht: Springer Nature. Springer International Publishing AG, 2022, Roč. 194, č. 6, [tlačená forma] [online]. ISSN 0167-6369. ISSN (online) 1573-2959. [angličtina]


2022 [01] Kaemo, Matheo, Hassanzadeh, Elmira, Nazemi, Ali. A locally relevant framework for assessing the risk of sea level rise under changing temperature conditions: Application in New Caledonia, Pacific Ocean [elektronický dokument]. DOI 10.1016/j.scitotenv.2022.155326 In: Science of the Total Environment: An International Journal for Scientific Research into the Environment and its Relationship with Humankind. Amsterdam: Elsevier, 2022, Roč. 834, [tlačená forma] [online]. ISSN 0048-9697. ISSN (online) 1879-1026. [angličtina]


2022 [01] Gorooh, Vesta Afzali, Asanjan, Ata Akbari, Nguyen, Phu, Hsu, Kuolin, Sorooshian, Soroosh. Deep neural network high spatiotemporal resolution precipitation estimation (Deep-STEP) using passive microwave and infrared data [elektronický dokument]. DOI 10.1175/JHM-D-21-0194.1 In: Journal of hydrometeorology, 2022, Roč. 23, č. 4, s. 597-617 [tlačená forma]. ISSN 1525-755X. ISSN (online) 1525-7541


2022 [01] Cheng, Lilu, Wang, Yu, Yang, Zongfeng. Olivine in picrites from continental flood basalt provinces classified using machine learning [elektronický dokument]. DOI 10.2138/am-2022-8083 In: The American mineralogist: an international journal of earth and planetary materials. Washington: Mineralogical Society of America, 2022, Roč. 107, č. 6, s. 1045-1052 [tlačená forma]. ISSN 0003-004X. ISSN (online) 1945-3027


2021 [01] Mitrovic, Katarina, Milosevic, Danijela. Classification of Malaria-Infected Cells using Convolutional Neural Networks [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465636 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 323-328. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


2021 [01] Krajewski, Witold F., Ghimire, Ganesh R., Demir, Ibrahim, Mantilla, Ricardo. Real-time streamflow forecasting: AI vs. Hydrologic insights [elektronický dokument]. DOI 10.1016/j.hydroa.2021.100110 In: Journal of Hydrology X. Amsterdam: Elsevier, 2021, Roč. 13. ISSN (online) 25899155


2021 [01] Sun, Lei, Lan, Yufeng. Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods [elektronický dokument]. DOI 10.1002/joc.6769 In: International Journal of Climatology. Hoboken: John Wiley & Sons, 2021, Roč. 41, č. 2, s. 1128-1147 [tlačená forma] [online]. ISSN 0899-8418. ISSN (online) 1097-0088


2021 [01] Silabela, Mxolisi, Bogdandy, Bence, Toth, Zsolt. Automatic Mask Detecion using Convolutional Neural Networks and Variational Autoencoder [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465587 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 461-466. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5. [angličtina]


2021 [01] Adeyemo, Adedeji Charles, Bogdandy, Bence, Toth, Zsolt. Machine Learning based Prediction of GDP using FAO Agricultural Data Set for Hungary [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465608 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 473-478. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


2021 [01] Khan, Noman, Ullah, Fath U. Min, Haq, Ijaz Ul, Khan, Samee Ullah, Lee, Mi Young, Baik, Sung Wook. AB-Net: A novel deep learning assisted framework for renewable energy generation forecasting [elektronický dokument]. DOI 10.3390/math9192456 In: Mathematics. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 9, č. 19, s. [online]. ISSN (online) 2227-7390


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2021 [01] Fan, Junliang, Zheng, Jing, Wu, Lifeng, Zhang, Fucang. Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models [elektronický dokument]. DOI 10.1016/j.agwat.2020.106547 In: Agricultural Water Management: An International Journal. Amsterdam: Elsevier, 2021, Roč. 245, s. [tlačená forma] [online]. ISSN 0378-3774. ISSN (online) 1873-2283


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2021 [01] Sebestyén, Viktor, Czvetkó, Tímea, Abonyi, János. The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking [elektronický dokument]. DOI 10.3389/fenvs.2021.619092 In: Frontiers in environmental science. Lausanne: Frontiers Media, 2021, Roč. 9, [online]. ISSN (online) 2296-665X


2021 [01] Le, Xuan Hien, Nguyen, Duc Hai, Jung, Sungho, Yeon, Minho, Lee, Giha. Comparison of Deep Learning Techniques for River Streamflow Forecasting [elektronický dokument]. DOI 10.1109/ACCESS.2021.3077703 In: IEEE Access: practical innovations, open solutions. Piscataway: Institute of Electrical and Electronics Engineers, 2021, Roč. 9, 71805-71820 [online]. ISSN (online) 2169-3536


2021 [01] Gaiceanu, Theodora, Pastravanu, Octavian. On CNN Applied to Speech-to-Text - Comparative Analysis of Different Gradient Based Optimizers [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465635 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 85-90. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


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2021 [01] Borisova, Julia, Aladina, Anastasia, Nikitin, Nikolay O. Hybrid modelling of environmental processes using composite models. DOI 10.1016/j.procs.2021.10.026 In: 10TH INTERNATIONAL YOUNG SCIENTISTS CONFERENCE IN COMPUTATIONAL SCIENCE (YSC2021). Amsterdam: Elsevier, 2021, s. 256-265. ISSN 1877-0509


2021 [01] Iapa, Augustin-Catalin, Cretu, Vladimir-Ioan. Modified distance metric that generates better performance for the authentication algorithm based on free-text keystroke dynamics [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465601 In: IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2021). [s.l.]: Institute of Electrical and Electronics Engineers, 2021, s. 455-460. ISBN (online) 978-1-7281-9543-8


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AFC_021 Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Várkonyiné Kóczy, Annamária. Building Energy Information: Demand and Consumption Prediction with Machine Learning Models for Sustainable and Smart Cities [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_19 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 191-201 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


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2022 [01] Fard, Rehane Hafezi, Hosseini, Soodeh. Machine Learning algorithms for prediction of energy consumption and IoT modeling in complex networks [elektronický dokument]. DOI 10.1016/j.micpro.2021.104423 In: Microprocessors and microsystems: Embedded Hardware Design. Amsterdam: Elsevier, 2022, Roč. 89, [tlačená forma]. ISSN 0141-9331. ISSN (online) 1872-9436


AFC_022 Mosavi, Amir, Ardabili, Sina Faizollahzadeh, Várkonyiné Kóczy, Annamária. List of Deep Learning Models [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_20 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 202-214 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


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2021 [01] Mitrovic, Katarina, Milosevic, Danijela. Classification of Malaria-Infected Cells using Convolutional Neural Networks [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465636 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 323-328. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


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2021 [01] Khan, Momina Rizwan, Rizvi, Shereen Zehra, Yasin, Amanullah, Ali, Mohsan. Depression Analysis of Social Media Activists Using the Gated Architecture Bi-LSTM. DOI 10.1109/ICCWS53234.2021.9703014 In: 2021 International Conference on Cyber Warfare and Security, ICCWS 2021 - Proceedings. New York: IEEE, 2021, s. 76-81. ISBN 9781665412087


2021 [01] Aqeel, Sehrish, Shahid Khan, Adnan, Ahmad, Zeeshan, Abdullah, Johari. A comprehensive study on DNA based Security scheme Using Deep Learning in Healthcare [elektronický dokument]. DOI 10.1080/07366981.2021.1958742 In: EDPACS. Abingdon: Taylor & Francis Group, 2021. ISSN 07366981. ISSN (online) 19361009


2021 [01] Stepchenko, A. M. Land-Use Classification Using Convolutional Neural Networks [elektronický dokument]. DOI 10.3103/S0146411621040088 In: Automatic Control and Computer Sciences. Moskva: Nauka Publishers. MAIK Nauka/Interperiodica. Pleiades Publishing, 2021, Roč. 55, č. 4, s. 358-367 [tlačená forma] [online]. ISSN 0146-4116. ISSN (online) 1558-108X


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AFC_023 Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Várkonyiné Kóczy, Annamária. Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_21 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 215-227 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


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2022 [01] Hendria, Willy Fitra, Phan, Quang Thinh, Adzaka, Fikriansyah, Jeong, Cheol. Combining transformer and CNN for object detection in UAV imagery. DOI 10.1016/j.icte.2021.12.006 In: ICT Express. [s.l.]: Elsevier, 2022, [online]. ISSN 2405-9595


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2021 [01] Alsayat, Ahmed. Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model [elektronický dokument]. DOI 10.1007/s13369-021-06227-w In: Arabian Journal for Science and Engineering. Heidelberg: Springer Nature. Springer International Publishing AG, 2021, [tlačená forma] [online]. ISSN 2193-567X. ISSN (online) 2191-4281


2021 [01] Paepae, Thulane, Bokoro, Pitshou N., Kyamakya, Kyandoghere. From fully physical to virtual sensing for water quality assessment: A comprehensive review of the relevant State-of-the-Art [elektronický dokument]. DOI 10.3390/s21216971 In: Sensors. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 21, č. 21, s. [online] [tlačená forma]. ISSN 1424-3210. ISSN (online) 1424-8220


2021 [01] Zennaro, Federica, Furlan, Elisa, Simeoni, Christian, Torresan, Silvia, Aslan, Sinem, Critto, Andrea, Marcomini, Antonio. Exploring machine learning potential for climate change risk assessment [elektronický dokument]. DOI 10.1016/j.earscirev.2021.103752 In: Earth-Science Reviews: international magazine for geo-scientist. Amsterdam: Elsevier, 2021, č. 220, [tlačená forma] [online]. ISSN 0012-8252. ISSN (online) 1872-6828


2021 [01] Amini, Mehran, Hatwagner, Miklos F., Mikulai, Gergely Cs, Koczy, Laszlo T. Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation [elektronický dokument]. DOI 10.36244/ICJ.2021.3.2 In: Híradástechnika: a Hírközlési és Informatikai Tudományos Egyesület, a HTE szakmai folyóirata: a publication of the Scientific Association for Infocommunications (HTE). Budapešť: Hírközlési és Informatikai Tudományos Egyesület, 2021, Roč. 13, č. 3, 14-23 [tlačená forma]. ISSN 0018-2028. ISSN 2061-2079. ISSN (online) 2061-2125


2021 [01] Kose, Utku, Deperlioglu, Omer, Alzubi, Jafar, Patrut, Bogdan. A hybrid medical diagnosis approach with swarm intelligence supported autoencoder based recurrent neural network system [elektronický dokument]. DOI 10.1007/978-981-15-6325-6_7 In: Studies in Computational Intelligence. Berlin: [s.n.], 2021, 107-127. ISSN 1860949X. ISSN (online) 18609503


2021 [01] Mitrovic, Katarina, Milosevic, Danijela. Classification of Malaria-Infected Cells using Convolutional Neural Networks [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465636 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 323-328. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


2021 [01] Silabela, Mxolisi, Bogdandy, Bence, Toth, Zsolt. Automatic Mask Detecion using Convolutional Neural Networks and Variational Autoencoder [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465587 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 461-466. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5. [angličtina]


2021 [01] Mathur, Sandeep, Datta, Krishnasheesh. Prediction of Covid-19 Cases in India Through Machine Learning Using Python. DOI 10.1109/ICRITO51393.2021.9596116 In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. [s.l.]: Institute of Electrical and Electronics Engineers, 2021, [online]. ISBN 9781665417037


2021 [01] Ramadhan, Fauzan Hikmah, Suryani, Vera, Mandala, Satria. Analysis Study of Malware Classification Portable Executable Using Hybrid Machine Learning. DOI 10.1109/ICICyTA53712.2021.9689130 In: 2021 International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2021. New York: IEEE, 2021, s. 86-91. ISBN 9781665417778


2021 [01] Villa-Pérez, Miryam Elizabeth, Álvarez-Carmona, Miguel, Loyola-González, Octavio, Medina-Pérez, Miguel Angel, Velazco-Rossell, Juan Carlos, Choo, Kim Kwang Raymond. Semi-supervised anomaly detection algorithms: A comparative summary and future research directions [elektronický dokument]. DOI 10.1016/j.knosys.2021.106878 In: Knowledge-Based Systems. Amsterdam: Elsevier, 2021, č. 218, [tlačená forma]. ISSN 0950-7051. ISSN (online) 1872-7409


2021 [01] Mohammadi, Azadeh, Shaverizade, Anis. Ensemble deep learning for aspect-based sentiment analysis [elektronický dokument]. DOI 10.22075/IJNAA.2021.4769 In: International Journal of Nonlinear Analysis and Applications. Semnan: Semnan University Science and Technology Park, 2021, Roč. 12, č. Special Issue, 29-38. ISSN (online) 20086822


2021 [01] Rao, Sanjeev, Verma, Anil Kumar, Bhatia, Tarunpreet. A review on social spam detection: Challenges, open issues, and future directions [elektronický dokument]. DOI 10.1016/j.eswa.2021.115742 In: Expert Systems with Applications: An International Journal. Oxford: Elsevier. Pergamon Press, 2021, č. 186, [tlačená forma] [online]. ISSN 0957-4174. ISSN (online) 1873-6793


2021 [01] Tsap, Vladyslav, Shakhovska, Nataliya, Sokolovskyi, Ivan. The developing of the system for automatic audio to text conversion In: Modern machine learning technologies and data science workshop. Aachen: CEUR-WS, 2021, s. 75-84 [online]


2021 [01] Vultureanu-Albisi, Alexandra, Bădică, Costin. Improving Students' Performance by Interpretable Explanations using Ensemble Tree-Based Approaches [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465558 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 215-220. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


2021 [01] Shamsirband, Shahab, Mehri Khansari, Nabi. Micro-mechanical damage diagnosis methodologies based on machine learning and deep learning models [elektronický dokument]. DOI 10.1631/jzus.A2000408 In: Journal of Zhejiang University: Science A. Hangzhou: Zhejiang University Press, 2021, Roč. 22, č. 8, 585-608 [tlačená forma] [online]. ISSN 1673-565X. ISSN (online) 1862-1775


2021 [01] Balogun, Habeeb, Alaka, Hafiz, Egwim, Christian Nnaemeka. Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors [elektronický dokument]. DOI 10.1108/ACI-04-2021-0092 In: Applied Computing and Informatics. [s.l.]: Emerald Group Publishing, 2021, [online]. ISSN 2634-1964. ISSN (online) 2210-8327


2021 [01] Cavus, Nadire, Mohammed, Yakubu Bala, Yakubu, Mohammed Nasiru. Determinants of learning management systems during covid-19 pandemic for sustainable education [elektronický dokument]. DOI 10.3390/su13095189 In: Sustainability. Bazilej: Multidisciplinary Digital Publishing Institute, 2021, Roč. 13, č. 9, [online]. ISSN (online) 2071-1050


2021 [01] Goydaragh, Maryam Ghebleh, Taghizadeh-Mehrjardi, Ruhollah, Jafarzadeh, Ali Asghar, Triantafilis, John, Lado, Marcos. Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon [elektronický dokument]. DOI 10.1016/j.catena.2021.105280 In: Catena: an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution. New York: Elsevier, 2021, Roč. 202, [tlačená forma] [online]. ISSN 0341-8162. ISSN (online) 1872-6887


2021 [01] Ciaburro, Giuseppe. Security Systems for Smart Cities Based on Acoustic Sensors and Machine Learning Applications [elektronický dokument]. DOI 10.1007/978-3-030-72065-0_20 In: Studies in Computational Intelligence. Berlin: Springer Science+Business Media B.V., 2021, 369-393. ISSN 1860949X. ISSN (online) 18609503


2021 [01] Amini, Mehran, Hatwagner, Miklos F., Mikulai, Gergely Cs, Koczy, Laszlo T. An intelligent traffic congestion detection approach based on fuzzy inference system [elektronický dokument]. DOI 10.1109/SACI51354.2021.9465637 In: SACI 2021 - IEEE 15th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. New York: Institute of Electrical and Electronics Engineers, 2021, 97-104. ISBN 978-1-7281-9545-2. ISBN 978-1-7281-9543-8. ISBN (online) 978-1-7281-9544-5


2021 [01] Genov, Evgenii, Petridis, Stefanos, Iliadis, Petros, Nikopoulos, Nikos, Coosemans, Thierry, Messagie, Maarten, Camargo, Luis Ramirez. Short-term load forecasting in a microgrid environment: Investigating the series-specific and cross-learning forecasting methods. DOI 10.1088/1742-6596/2042/1/012035 In: CISBAT 2021 Carbon-neutral cities - energy efficiency and renewables in the digital era: 8-10 September 2021, EPFL Lausanne, Switzerland. Bristol: IOP Publishing, 2021, s. 1-7 [online]


2021 [01] Abdullah, Nur Atiqah Sia, Rusli, Nur Ida Aniza. Multilingual sentiment analysis: A systematic literature review. DOI 10.47836/pjst.29.1.25 In: Pertanika journal of science and technology. Seri Kembangan: Universiti Putra Malaysia. Universiti Putra Malaysia Press, 2021, Roč. 29, č. 1, 445-470 [tlačená forma]. ISSN 0128-7680


2020 [01] Demarchi, Luca, van de Bund, Wouter, Pistocchi, Alberto. Object-based ensemble learning for Pan-European riverscape units mapping based on copernicus VHR and EU-DEM data fusion [elektronický dokument]. DOI 10.3390/rs12071222 In: Remote Sensing. Bazilej: Molecular Diversity Preservation International, 2020, Roč. 12, č. 7, [online]. ISSN (online) 2072-4292


2020 [01] Balogun, Abdullateef O., Lafenwa-Balogun, Fatimah B., Mojeed, Hammed A., Adeyemo, Victor E., Akande, Oluwatobi N., Akintola, Abimbola G., Bajeh, Amos O., Usman-Hamza, Fatimah E. SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction [elektronický dokument]. DOI 10.1007/978-3-030-58817-5_45 In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Berlin: Springer Verlag, 2020, 615-631. ISBN 9783030588168. ISSN 03029743. ISSN (online) 16113349


AFC_024 Gundoshmian, Tarahom Mestri, Ardabili, Sina Faizollahzadeh, Mosavi, Amir, Várkonyiné Kóczy, Annamária. Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_34 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 345-360 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


AFC_025 Mohammadzadeh, Danial, Karballaeezadeh, Nader, Mohemmi, Morteza, Mosavi, Amir, Várkonyiné Kóczy, Annamária. Urban Train Soil-Structure Interaction Modeling and Analysis [elektronický dokument]. DOI 10.1007/978-3-030-36841-8_35 In: Engineering for Sustainable Future: Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. Cham: Springer Nature, 2020, s. 361-381 [tlačená forma] [online]. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. [angličtina]


AFC_026 Tusor, Balázs, Tóth, János, Várkonyiné Kóczy, Annamária. Approximate Functional Dependency Mining with Sequential Indexing Tables. DOI 10.1109/CINTI-MACRo49179.2019.9105179 In: 2019 IEEE 19th International Symposium on Computational Intelligence and Informatics and 7th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics (CINTI-MACRo 2019). New York: Institute of Electrical and Electronics Engineers, 2019, s. 119-124 [online]. ISBN 978-1-7281-5625-5. ISSN 2380-8586. http://conf.uni-obuda.hu/cinti2019/. https://ieeexplore.ieee.org/document/9105179. [angličtina]


AFC_027 Tusor, Balázs, Tóth, János, Várkonyiné Kóczy, Annamária. Functional Dependency Detection with Sequential Indexing Tables [elektronický dokument]. DOI 10.1109/INES46365.2019.9109488 In: INES 2019: 23rd International Conference on Intelligent Engineering Systems. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, 2019, s. 307-312 [tlačená forma] [online] [USB kľúč]. ISBN 978-1-7281-1214-5. ISBN 978-1-7281-1212-1. ISBN (online) 978-1-7281-1213-8. [angličtina]


AFC_028 Tusor, Balázs, Várkonyiné Kóczy, Annamária. Memory Efficient Exact and Approximate Functional Dependency Extraction with ParSIT. DOI 10.1109/INES49302.2020.9147187 In: INES 2020 - IEEE 24th International Conference on Intelligent Engineering Systems. [s.l.]: Institute of Electrical and Electronics Engineers, 2020, s. 133-138. ISBN 978-17-28110-59-2. [angličtina]


Ohlasy:

2022 [01] Al-atar, Munqath, Sali, Attila. Approximate keys and functional dependencies in incomplete databases with limited domains [elektronický dokument]. DOI 10.1007/978-3-031-11321-5_9 In: Foundations of Information and Knowledge Systems: International Symposium on Foundations of Information and Knowledge Systems. [s.l.]: Springer Nature. Springer Science+Business Media, 2022, s. 147-167. ISBN 9783031113208. ISSN 03029743. ISSN (online) 16113349. [angličtina]


AFC_029 Benhamida, Abdallah, Várkonyiné Kóczy, Annamária, Kozlovszky, Miklós. Traffic Signs Recognition in a mobile-based application using TensorFlow and Transfer Learning technics. DOI 10.1109/SoSE50414.2020.9130519 In: 2020 IEEE 15th International Conference of System of Systems Engineering. Budapešť: Institute of Electrical and Electronics Engineers. IEEE Biometrics Council, 2020, s. 537-541. ISBN 978-1-7281-8050-2. [angličtina]


AFC_030 Tusor, Balázs, Tóth, János, Várkonyiné Kóczy, Annamária. Parallelized sequential indexing tables for fast high-volume data processing. DOI 10.1109/I2MTC43012.2020.9128637 In: I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings. Dubrovnik: Institute of Electrical and Electronics Engineers. IEEE Instrumentation and Measurement Society, 2020, art. no. 9128637, s. [1-6] [tlačená forma] [online]. ISBN 9781728144603. [angličtina]


AFD Publikované príspevky na domácich vedeckých konferenciách

Počet výstupov: 2


AFD_001 Rituraj, Rituraj, Várkonyiné Kóczy, Annamária. Advantages of Anytime Algorithm for Multi-Objective Query Optimization [elektronický dokument]. DOI 10.1109/SAMI48414.2020.9108713 In: IEEE 18th World Symposium on Applied Machine Intelligence and Informatics: proceedings. Danvers: Institute of Electrical and Electronics Engineers, 2020, s. 141-144 [USB kľúč]. ISBN 978-1-7281-3149-8. ISBN (online) 978-1-7281-3148-1. [angličtina]


AFD_002 Tusor, Balázs, Takáč, Ondrej, Molnár, András, Gubo, Štefan, Várkonyiné Kóczy, Annamária. Shape Recognition in Drone Images Using Simplified Fuzzy Indexing Tables [elektronický dokument]. DOI 10.1109/SAMI48414.2020.9108735 In: IEEE 18th World Symposium on Applied Machine Intelligence and Informatics: proceedings. Danvers: Institute of Electrical and Electronics Engineers, 2020, s. 129-134 [USB kľúč]. ISBN 978-1-7281-3149-8. ISBN (online) 978-1-7281-3148-1. [angličtina]


Ohlasy:

2022 [01] García‐Pulido, J. A., Pajares, G., Dormido, S. UAV landing platform recognition using cognitive computation combining geometric analysis and computer vision techniques [elektronický dokument]. DOI 10.1007/s12559-021-09962-2 In: Cognitive Computation. New York: Springer Verlag, 2022, [tlačená forma]. ISSN 1866-9956. ISSN (online) 1866-9964


FAI Zostavovateľské práce knižného charakteru (bibliografie, encyklopédie, katalógy, slovníky, zborníky, atlasy...)

Počet výstupov: 1


FAI_001 Várkonyiné Kóczy, Annamária. Engineering for Sustainable Future [textový dokument (print)] [elektronický dokument] : Selected papers of the18. International Conference on Global Research and Education Inter-Academia - 2019. 1. vyd. Cham: Springer Nature, 2020. Lecture Notes in Networks and Systems, 101. ISBN 978-3-030-36840-1. ISBN (online) 978-3-030-36841-8. DOI 10.1007/978-3-030-36841-8. [angličtina]




Szakmai díjak, elismerések:

•Széchenyi Professzori Ösztöndíj, 1999-2002

•Sigillum Universitatis Mistinae Érdemérem, ezüst fokozat, Univ. di Modena e Reggio Emilia, 2002

•Széchenyi István Ösztöndíj, 2003-2006

•Outstanding Service Award, IEEE Romania Section, 2006

•Honorary Professor, Shizuoka University, Japán, 2009-

•Interacademia Poland Award 2009

•Best Paper Award, Int. Workshop on Advanced Computational Intelligence and Intelligent Informatics, Tokyo, Japan, 2009

•Excellent Presentation Award, Int. Workshop on Advanced Computational Intelligence and Intelligent Informatics, Tokyo, Japan, 2009

•Distinguished Lecturer, IEEE IMS, 2011-2014

•Az év kutatója, Óbudai Egyetem, 2011

•Rektori Dicséret, Selye János Egyetem, 2014

•Certificate of Appreciation, Inter-Academia Community, Japan, 2015

•Rektori Dicséret, Selye János Egyetem, 2015

•Rektori Díj, Selye János Egyetem, 2016

•Certificate of Appreciation, IEEE Instrumentation and Measurement Society, 2016

•Rektori Díj, Selye János Egyetem, 2017

•Rektori Díj, Selye János Egyetem, 2018

•Rektori Díj, Selye János Egyetem, 2019

•Selye János Emlékérem, 2019

•Magyar Érdemrend Tisztikeresztje, Polgári Tagozat, 2020

•Rektori Díj, Selye János Egyetem, 2020

•2019 Best Paper Award, 2.díj, Energies

•Rektori Díj, Selye János Egyetem, 2021

 

Tagságok:

•The Institute of Electrical and Electronics Engineers, USA 1994 (2007-fellow, 2011-2014 distinguished lecturer)

•European Association for Signal Processing 1998

Magyar Mérnökakadémia (választott tag) 2001

•Magyar Tudományos Akadémia Köztestület 1996

•Neumann János Számítógéptudományi Társaság 1994

•Méréstechnikai és Automatizálási Tudományos Egyesület 1994

•Magyar Fuzzy Társaság (2000-2007 alelnök)

 

Egyéb:

•Alapító konferencia elnök: IEEE Int. Symp. on Intelligent Signal Processing, WISP (1999-) és IEEE International Workshop on Soft Computing Applications, SOFA (2005-) rendezvény sorozat

•Konferencia elnök: Interacademia’2004, Interacademia’2008, IEEE MeMeA’2012, Interacademia’2012, IEEE CIVEMSA’2016, Interacademia’2019

•Publicity Chair: 18th IEEE Instrumentation and Measurement Technology Conference, IMTC’2001, 1st International Symposium on Small-scale Intelligent Manufacturing Systems, SIMS 2016

•Nemzetközi programbizottsági elnök: SAMI’2004, SAMI’2005, ICCA’2005, SAMI’2006, ICONS’2008, I2MTC’2010, I2MTC’2012

•Special Session Chair: ICONS’2009

•Nemzetközi Programbizottsági tagság: 250 fölött

•Társszerkesztő: IEEE Trans. on Instrumentation and Measurement, Int. Journal Biomedical Soft Computing and Human Sciences, Acta Polytechnica Hungarica

•Vendégszerkesztő: Journal of Advanced Computational Intelligence, IEEE Trans. on Instrumentation and Measurement, Journal of Advanced Computational Intelligence & Intelligent Informatics, Journal of Intelligent and Fuzzy Systems, Advances in Human-Computer Interaction, Energies, Algorithms (MDPI)

•Szerkesztőbizottsági tag: Int. Journal of Advanced Intelligent Paradigm, Acta Polytechnica Hungarica

•Bíráló: Egyebek közt: IEEE Transactions on Circuits and Systems II, Signal Processing Journal, IEEE Trans. on Instrumentation and Measurement, IEEE Trans. on Signal Processing, International Journal of System Science, Journal of Intelligent and Fuzzy Systems, International Journal of Advanced Intelligence Paradigms, Soft Computing, Measurement, Athmosphere, Energies, Algorithms, IEEE Access

•Alapító és szerkesztőbizottsági tag: Periodica elektronikus folyóirat

 

Publikációk: Szerzője, illetve társszerzője 34 könyvnek/tankönyvnek (30 angol nyelvű), 58 folyóirat-cikknek (56 angol nyelvű), valamint több mint 240 referált angol nyelvű konferenciacikknek .

Hivatkozások száma: 2760 fölött, Kumulatív IF: 55,681, Hirsch index: 27.


 

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