| Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication] MA Amirabadi, MH Kahaei, SA Nezamalhosseini Physical Communication 41, 101057, 2020 | 55 | 2020 |
| A novel hybrid FSO/RF communication system with receive diversity MA Amirabadi, VT Vakili Optik 184, 293-298, 2019 | 53 | 2019 |
| Deep learning for channel estimation in FSO communication system MA Amirabadi, MH Kahaei, SA Nezamalhosseini, VT Vakili Optics Communications 459, 124989, 2020 | 49 | 2020 |
| A new optimization problem in FSO communication system MA Amirabadi, VT Vakili IEEE Communications Letters 22 (7), 1442-1445, 2018 | 42 | 2018 |
| Performance analysis of a novel hybrid FSO/RF communication system M Ali Amirabadi, V Tabataba Vakili IET Optoelectronics 14 (2), 66-74, 2020 | 30 | 2020 |
| Performance of a relay-assisted hybrid FSO/RF communication system MA Amirabadi, VT Vakili Physical communication 35, 100729, 2019 | 28 | 2019 |
| Performance comparison of two novel relay‐assisted hybrid FSO/RF communication systems MA Amirabadi, VT Vakili IET Communications 13 (11), 1551-1556, 2019 | 27 | 2019 |
| Deep learning based detection technique for FSO communication systems MA Amirabadi, MH Kahaei, SA Nezamalhosseini Physical Communication 43, 101229, 2020 | 24 | 2020 |
| Performance evaluation of a novel relay‐assisted hybrid FSO/RF communication system with receive diversity MA Amirabadi, V Tabataba Vakili IET Optoelectronics 13 (5), 203-214, 2019 | 21 | 2019 |
| Low complexity deep learning algorithms for compensating atmospheric turbulence in the free space optical communication system MA Amirabadi, MH Kahaei, SA Nezamalhosseni IET Optoelectronics 16 (3), 93-105, 2022 | 18 | 2022 |
| On the performance of a multi-user multi-hop hybrid FSO/RF communication system MA Amirabadi, VT Vakili Optics Communications 444, 172-183, 2019 | 18 | 2019 |
| Performance analysis of hybrid FSO/RF communication systems with Alamouti coding or antenna selection M Ali Amirabadi, V Tabataba Vakili The Journal of Engineering 2019 (5), 3433-3437, 2019 | 10 | 2019 |
| Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model MA Amirabadi, MH Kahaei, SA Nezamalhosseini, LR Chen IEEE Access 10, 23122-23139, 2022 | 9 | 2022 |
| Closed-form EGN model for FMF systems MA Amirabadi, MH Kahaei, SA Nezamalhosseini, F Arpanaei, A Carena Asia Communications and Photonics Conference, T4A. 33, 2021 | 9 | 2021 |
| Improving MDM–WDM optical network performance via optimized power allocation using Gaussian noise model MA Amirabadi, SA Nezamalhosseini, MH Kahaei, LR Chen Optical Fiber Technology 75, 103187, 2023 | 8 | 2023 |
| Optimal power allocation in nonlinear MDM‐WDM systems using Gaussian noise model MA Amirabadi, MH Kahaei, SA Nezamalhosseini, LR Chen IET Optoelectronics 16 (3), 133-148, 2022 | 7 | 2022 |
| Deep Neural Network-Based QoT Estimation for SMF and FMF Links MA Amirabadi, MH Kahaei, SA Nezamalhosseini, F Arpanaei, A Carena Journal of Lightwave Technology 41 (6), 1684-1695, 2022 | 6 | 2022 |
| A new fast approach for an eeg-based motor imagery bci classification MA Amirabadi, MH Kahaei IETE Journal of Research 69 (1), 232-241, 2023 | 5 | 2023 |
| A deep learning based detector for FSO system considering imperfect CSI scenario MA Amirabadi, MH Kahaei, SA Nezamalhosseini 2020 3rd West Asian Symposium on Optical and Millimeter-wave Wireless …, 2020 | 5 | 2020 |
| New expressions on the performance of a novel multi-hop relay-assisted hybrid FSO/RF communication system with receive diversity MA Amirabadi arXiv preprint arXiv:1806.08223, 2018 | 5 | 2018 |
