Deep convolutional neural network for classification of sleep stages from single-channel EEG signals Z Mousavi, TY Rezaii, S Sheykhivand, A Farzamnia, SN Razavi Journal of neuroscience methods 324, 108312, 2019 | 118 | 2019 |
Recognizing emotions evoked by music using CNN-LSTM networks on EEG signals S Sheykhivand, Z Mousavi, TY Rezaii, A Farzamnia IEEE access 8, 139332-139345, 2020 | 92 | 2020 |
Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images S Sheykhivand, Z Mousavi, S Mojtahedi, TY Rezaii, A Farzamnia, ... Alexandria Engineering Journal 60 (3), 2885-2903, 2021 | 69 | 2021 |
Efficient in-band spectrum sensing using swarm intelligence for cognitive radio network RA Rashid, AHFBA Hamid, N Fisal, SK Syed-Yusof, H Hosseini, A Lo, ... Canadian Journal of Electrical and Computer Engineering 38 (2), 106-115, 2015 | 44 | 2015 |
Transfer learning based motor imagery classification using convolutional neural networks M Parvan, AR Ghiasi, TY Rezaii, A Farzamnia 2019 27th Iranian Conference on Electrical Engineering (ICEE), 1825-1828, 2019 | 35 | 2019 |
Two-stage robust-stochastic electricity market clearing considering mobile energy storage in rail transportation MA Mirzaei, M Hemmati, K Zare, B Mohammadi-Ivatloo, M Abapour, ... IEEE Access 8, 121780-121794, 2020 | 32 | 2020 |
Transfer learning convolutional neural network for sleep stage classification using two-stage data fusion framework M Abdollahpour, TY Rezaii, A Farzamnia, I Saad IEEE access 8, 180618-180632, 2020 | 31 | 2020 |
BER comparison of OFDM with M-QAM modulation scheme of AWGN and Rayleigh fading channels A Farzamnia, NW Hlaing, M Mariappan, MK Haldar 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), 54-58, 2018 | 31 | 2018 |
Developing a deep neural network for driver fatigue detection using EEG signals based on compressed sensing S Sheykhivand, TY Rezaii, S Meshgini, S Makoui, A Farzamnia Sustainability 14 (5), 2941, 2022 | 27 | 2022 |
Automatic detection of driver fatigue based on EEG signals using a developed deep neural network S Sheykhivand, TY Rezaii, Z Mousavi, S Meshgini, S Makouei, ... Electronics 11 (14), 2169, 2022 | 26 | 2022 |
Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification S Sheykhivand, TY Rezaii, Z Mousavi, A Delpak, A Farzamnia IEEE Access 8, 138834-138845, 2020 | 24 | 2020 |
Breast tumor segmentation using K-means clustering and cuckoo search optimization A Arjmand, S Meshgini, R Afrouzian, A Farzamnia 2019 9th International conference on computer and knowledge engineering …, 2019 | 24 | 2019 |
Channel estimation for sparse channel OFDM systems using least square and minimum mean square error techniques A Farzamnia, NW Hlaing, MK Haldar, J Rahebi 2017 international conference on engineering and technology (ICET), 1-5, 2017 | 23 | 2017 |
Improvement for power quality by using dynamic voltage restorer in electrical distribution networks Ali Farzamnia, A. H. Abed, J. Rahebi 2017 IEEE 2nd International Conference on Automatic Control and Intelligent …, 2017 | 22 | 2017 |
Digital image edge detection using an ant colony optimization based on genetic algorithm J Rahebi, Z Elmi, K Shayan 2010 IEEE Conference on Cybernetics and Intelligent Systems, 145-149, 2010 | 22 | 2010 |
Compressed wavelet packet-based spectrum sensing with adaptive thresholding for cognitive radio H Hosseini, SKB Syed-Yusof, N Fisal, A Farzamnia Canadian Journal of Electrical and Computer Engineering 38 (1), 31-36, 2015 | 20 | 2015 |
Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal K Darvish Ghanbar, T Yousefi Rezaii, A Farzamnia, I Saad Plos one 16 (3), e0248511, 2021 | 17 | 2021 |
Reduce power losses and improve voltage level by using distributed generation in radial distributed grid Ali. Farzamnia, H. Sajir, J. Rahebi, A. Abed 2017 IEEE 2nd International Conference on Automatic Control and Intelligent …, 2017 | 17 | 2017 |
Sleep stage scoring of single-channel EEG signal based on RUSBoost classifier S Sheykhivand, TY Rezaii, A Farzamnia, M Vazifehkhahi 2018 IEEE International Conference on Artificial Intelligence in Engineering …, 2018 | 16 | 2018 |
Data-driven observer-based model-free adaptive discrete-time terminal sliding mode control of rigid robot manipulators B Esmaeili, M Salim, M Baradarannia, A Farzamnia 2019 7th international conference on robotics and mechatronics (ICRoM), 432-438, 2019 | 15 | 2019 |