مقالات ارائه شده در مجلات

انگلیسی

  1. Mohammad Ali Amirabadi , علیرضا نظام الحسینی , Sum rate optimization in STAR-RIS assisted multiuser massive MIMO-OFDM VLC systems, Physical Communication, Volume (67), No (102524), Year (2024-12), Pages (102524-102524)
  2. نفیسه رضازاده , Mohammad Ali Amirabadi , محمدحسین کهایی , Deep learning‐based location prediction in VANET, IET Intelligent Transport Systems, Volume (18), No (9), Year (2024-9), Pages (1574-1587)
  3. Mohammad Ali Amirabadi , علیرضا نظام الحسینی , محمدحسین کهایی , آندره کارنا , Deep Learning-based Classification for QoT Estimation in SMF and FMF Links, Journal of Lightwave Technology, Year (2024-1)
  4. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , Deep learning and deep transfer learning-based OPM for FMF systems, Physical Communication, Volume (60), No (102157), Year (2023-10), Pages (102157-102157)
  5. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , Active learning for OPM in FMF systems, Physical Communication, Volume (58), No (102042), Year (2023-6)
  6. Mohammad Ali Amirabadi , محمدحسین کهایی , A New Fast Approach for an EEG-based Motor Imagery BCI Classification, IETE Journal of Research, Volume (69), No (1), Year (2023-1), Pages (232-241)
  7. Mohammad Ali Amirabadi , علیرضا نظام الحسینی , محمدحسین کهایی , لارنس آر چن , Improving MDM–WDM optical network performance via optimized power allocation using Gaussian noise model, Optical Fiber Technology, Volume (75), No (103187), Year (2023-1), Pages (103187-103187)
  8. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , فرهاد ارپناعی , آندره کارنا , Deep Neural Network-Based QoT Estimation for SMF and FMF Links, Journal of Lightwave Technology, Volume (41), No (6), Year (2023-3), Pages (1684-1695)
  9. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , End-to-end deep learning for joint geometric-probabilistic constellation shaping in FMF system, Physical Communication, Volume (55), No (101903), Year (2022-12), Pages (101903-101903)
  10. Mohammad Ali Amirabadi , علیرضا نظام الحسینی , محمد حسین کهایی , Meta-ensemble learning for OPM in FMF systems, Applied Optics, Volume (61), No (21), Year (2022-7), Pages (6249-6256)
  11. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , لارنس آر چن , Optimal power allocation in nonlinear MDM‐WDM systems using Gaussian noise model, IET Optoelectronics, Volume (16), No (3), Year (2022-6), Pages (133-148)
  12. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , Low complexity deep learning algorithms for compensating atmospheric turbulence in the free space optical communication system, IET Optoelectronics, Volume (16), No (3), Year (2022-6), Pages (93-105)
  13. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , لارنس آر چن , Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model, IEEE Access, Volume (10), Year (2022-1), Pages (23122-23139)
  14. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , Deep learning based detection technique for FSO communication systems, Physical Communication, Volume (43), No (101229), Year (2020-12), Pages (101229-101229)
  15. Mohammad Ali Amirabadi , محمد حسین کهایی , علیرضا نظام الحسینی , Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication], Physical Communication, Volume (41), No (101057), Year (2020-8), Pages (101057-101057)
  16. Mohammad Ali Amirabadi , محمدحسین کهایی , علیرضا نظام الحسینی , وحید طباطباوکیلی , Deep Learning for channel estimation in FSO communication system, Optics Communications, Volume (459), No (124989), Year (2020-3), Pages (124989-124989)
  17. Mohammad Ali Amirabadi , وحید طباطبائکیلی , On the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system with receive diversity, Optik, Volume (226), No (165883), Year (2021-1), Pages (165883-165883)
  18. Mohammad Ali Amirabadi , وحید طباطباوکیلی , Performance analysis of a novel hybrid FSO/RF communication system, IET Optoelectronics, Volume (14), No (2), Year (2020-4), Pages (66-74)
  19. Mohammad Ali Amirabadi , وحید طباطبا وکیلی , Performance evaluation of a novel relay‐assisted hybrid FSO/RF communication system with receive diversity, IET Optoelectronics, Volume (13), No (5), Year (2019-10), Pages (203-214)
  20. Mohammad Ali Amirabadi , وحید طباطبا وکیلی , Performance of a relay-assisted hybrid FSO/RF communication system, Physical Communication, Volume (35), No (100729), Year (2019-8), Pages (100729-100729)
  21. Mohammad Ali Amirabadi , وحید طباطباوکیلی , On the performance of a multi-user multi-hop hybrid FSO/RF communication system, Optics Communications, Volume (444), Year (2019-8), Pages (172-183)
  22. Mohammad Ali Amirabadi , وحید طباطباوکیلی , Performance comparison of two novel relay‐assisted hybrid FSO/RF communication systems, IET Communications, Volume (13), No (11), Year (2019-7), Pages (1551-1556)
  23. Mohammad Ali Amirabadi , وحید طباطباوکیلی , Performance analysis of hybrid FSO/RF communication systems with Alamouti coding or antenna selection, Journal of Engineering-JOE, Volume (2019), No (5), Year (2019-5), Pages (3433-3437)
  24. Mohammad Ali Amirabadi , وحید طباطباوکیلی , A novel hybrid FSO / RF communication system with receive diversity, Optik, Volume (184), Year (2019-5), Pages (293-298)
  25. Mohammad Ali Amirabadi , وحید طباطباوکیلی , A New Optimization Problem in FSO Communication System, IEEE Communications Letters, Volume (22), No (7), Year (2018-7), Pages (1442-1445)

مقالات ارایه شده در کنفرانس

انگلیسی

  1. Mohammad Ali Amirabadi , Rate Optimized Probabilistic Shaping-Based Transmission Over Field Deployed Coupled-Core 4-Core-Fiber , 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) , 2023-06-26
  2. Mohammad Ali Amirabadi , Deep Learning for QoT Estimation in SMF and FMF Links , 2022 Asia Communications and Photonics Conference (ACP) , 2022-11-05
  3. Mohammad Ali Amirabadi , Deep Learning Regression vs. Classification for QoT Estimation in SMF and FMF Links , 2022 Italian Conference on Optics and Photonics (ICOP) , 2022-06-15
  4. Mohammad Ali Amirabadi , Closed-Form EGN Model for FMF Systems , Asia Communications and Photonics Conference 2021 , 2021-10-24
  5. Mohammad Ali Amirabadi , A Deep Learning based Detector for FSO System Considering Imperfect CSI Scenario , 2020 3rd West Asian Symposium on Optical and Millimeter-wave Wireless Communication (WASOWC) , 2020-11-24