| Load–frequency control: a GA-based multi-agent reinforcement learning F Daneshfar, H Bevrani IET generation, transmission & distribution 4 (1), 13-26, 2010 | 202 | 2010 |
| Multiobjective design of load frequency control using genetic algorithms F Daneshfar, H Bevrani International Journal of Electrical Power & Energy Systems 42 (1), 257-263, 2012 | 181 | 2012 |
| Autoencoders and their applications in machine learning: a survey K Berahmand, F Daneshfar, ES Salehi, Y Li, Y Xu Artificial Intelligence Review 57 (2), 28, 2024 | 145 | 2024 |
| Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian elliptical … F Daneshfar, SJ Kabudian, A Neekabadi Applied Acoustics 166, 107360, 2020 | 79 | 2020 |
| Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm F Daneshfar, SJ Kabudian Multimedia Tools and Applications 79 (1), 1261-1289, 2020 | 74 | 2020 |
| Intelligent power system frequency regulations concerning the integration of wind power units H Bevrani, F Daneshfar, RP Daneshmand Wind power systems: Applications of computational intelligence, 407-437, 2010 | 69 | 2010 |
| An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse F Daneshfar, MB Jamshidi Neural Networks 163, 108-121, 2023 | 51 | 2023 |
| A new intelligent agent-based AGC design with real-time application H Bevrani, F Daneshfar, T Hiyama IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012 | 49 | 2012 |
| Multi‐Agent Systems in Control Engineering: A Survey F Daneshfar, H Bevrani Journal of Control Science and Engineering 2009 (1), 531080, 2009 | 41* | 2009 |
| Intelligent load‐frequency control in a deregulated environment: continuous‐valued input, extended classifier system approach F Daneshfar IET generation, transmission & distribution 7 (6), 551-559, 2013 | 39 | 2013 |
| Adaptive fuzzy urban traffic flow control using a cooperative multi-agent system based on two stage fuzzy clustering F Daneshfar, J RavanJamJah, F Mansoori, H Bevrani, BZ Azami VTC Spring 2009-IEEE 69th Vehicular Technology Conference, 1-5, 2009 | 34 | 2009 |
| LyEmoBERT: Classification of lyrics’ emotion and recommendation using a pre-trained model VR Revathy, AS Pillai, F Daneshfar Procedia Computer Science 218, 1196-1208, 2023 | 25 | 2023 |
| A hybrid echo state network for hypercomplex pattern recognition, classification, and big data analysis MB Jamshidi, F Daneshfar 2022 12th International Conference on Computer and Knowledge Engineering …, 2022 | 25 | 2022 |
| A review of the potential of artificial intelligence approaches to forecasting COVID-19 spreading MB Jamshidi, S Roshani, J Talla, A Lalbakhsh, Z Peroutka, S Roshani, ... Ai 3 (2), 493-511, 2022 | 25 | 2022 |
| A survey on semi-supervised graph clustering F Daneshfar, S Soleymanbaigi, P Yamini, MS Amini Engineering Applications of Artificial Intelligence 133, 108215, 2024 | 22 | 2024 |
| Hybrid deep learning techniques for predicting complex phenomena: A review on COVID-19 M Jamshidi, S Roshani, F Daneshfar, A Lalbakhsh, S Roshani, ... AI 3 (2), 416-433, 2022 | 22 | 2022 |
| Elastic deep autoencoder for text embedding clustering by an improved graph regularization F Daneshfar, S Soleymanbaigi, A Nafisi, P Yamini Expert Systems with Applications 238, 121780, 2024 | 20 | 2024 |
| Intelligent automatic generation control: Multi-agent Bayesian networks approach H Bevrani, F Daneshfar, PR Daneshmand 2010 IEEE International Symposium on Intelligent Control, 773-778, 2010 | 18 | 2010 |
| Bayesian networks design of load-frequency control based on GA F Daneshfar, H Bevrani, F Mansoori The 2nd international conference on control, instrumentation and automation …, 2011 | 16 | 2011 |
| Enhancing Low-Resource Sentiment Analysis: A Transfer Learning Approach F Daneshfar Passer Journal of Basic and Applied Sciences 6 (2), 265-274, 2024 | 12 | 2024 |
Hassan BevraniProfessor, IEEE Fellow, Dept. of Electrical Eng., SMGRC, Faculty of Eng., University of Kurdistanبريد إلكتروني تم التحقق منه على uok.ac.ir