A.R. Várkonyi Kóczy
A.R. Várkonyi Kóczy
uni-obuda.hu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
State of the art of machine learning models in energy systems, a systematic review
A Mosavi, M Salimi, S Faizollahzadeh Ardabili, T Rabczuk, ...
Energies 12 (7), 1301, 2019
1232019
Covid-19 outbreak prediction with machine learning
SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ...
Algorithms 13 (10), 249, 2020
1092020
Human–computer interaction for smart environment applications using fuzzy hand posture and gesture models
AR Várkonyi-Kóczy, B Tusor
IEEE Transactions on Instrumentation and Measurement 60 (5), 1505-1514, 2011
782011
Gradient-based synthesized multiple exposure time color HDR image
AR Várkonyi-Kóczy, AÁ Rovid, T Hashimoto
IEEE Transactions on Instrumentation and Measurement 57 (8), 1779-1785, 2008
582008
SVD-based complexity reduction to TS fuzzy models
P Baranyi, Y Yam, AR Várkonyi-Kóczy, RJ Patton, P Michelberger, ...
IEEE Transactions on Industrial Electronics 49 (2), 433-443, 2002
552002
Integration of machine learning and optimization for robot learning
A Mosavi, AR Varkonyi-Koczy
Recent Global Research and Education: Technological Challenges, 349-355, 2017
542017
A recursive fast Fourier transformation algorithm
AR Varkonyi-Koczy
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal …, 1995
541995
Reviewing the novel machine learning tools for materials design
A Mosavi, T Rabczuk, AR Varkonyi-Koczy
International Conference on Global Research and Education, 50-58, 2017
532017
SVD-based reduction to MISO TS models
P Baranyi, Y Yam, AR Várkonyi-Kóczy, RJ Patton
IEEE Transactions on Industrial Electronics 50 (1), 232-242, 2003
472003
A hybrid machine learning approach for daily prediction of solar radiation
M Torabi, A Mosavi, P Ozturk, A Varkonyi-Koczy, V Istvan
International Conference on Global Research and Education, 266-274, 2018
432018
Deep learning and machine learning in hydrological processes climate change and earth systems a systematic review
S Ardabili, A Mosavi, M Dehghani, AR Várkonyi-Kóczy
International Conference on Global Research and Education, 52-62, 2019
412019
Advances in machine learning modeling reviewing hybrid and ensemble methods
S Ardabili, A Mosavi, AR Várkonyi-Kóczy
International Conference on Global Research and Education, 215-227, 2019
402019
Anytime information processing based on fuzzy and neural network models
AR Várkonyi-Kóczy, A Ruano, P Baranyi, O Takács
IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement …, 2001
382001
A fast filter-bank for adaptive Fourier analysis
AR Várkonyi-Kóczy, G Simon, L Sujbert, M Fék
IEEE Transactions on Instrumentation And Measurement 47 (5), 1124-1128, 1998
381998
Industrial applications of big data: State of the art survey
A Mosavi, A Lopez, AR Varkonyi-Koczy
International Conference on Global Research and Education, 225-232, 2017
362017
Developing an ANFIS-PSO model to predict mercury emissions in combustion flue gases
S Shamshirband, M Hadipoor, A Baghban, A Mosavi, J Bukor, ...
Mathematics 7 (10), 965, 2019
332019
Energy consumption prediction using machine learning; a review
A Mosavi, A Bahmani
Preprints, 2019
33*2019
A load balancing algorithm for resource allocation in cloud computing
S Mousavi, A Mosavi, AR Varkonyi-Koczy
International conference on global research and education, 289-296, 2017
322017
Review on the Usage of the Multiobjective Optimization Package of modeFrontier in the Energy Sector
A Mosavi, R Rituraj, AR Varkonyi-Koczy
International Conference on Global Research and Education, 217-224, 2017
312017
Anytime algorithms in embedded signal processing systems1
AR Várkonyi-Kóczy, T Kovácsházy
9th European Signal Processing Conference (EUSIPCO 1998), 1-4, 1998
311998
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20