| 5G signal identification using deep learning MH Alhazmi, M Alymani, H Alhazmi, A Almarhabi, A Samarkandi, YD Yao 2020 29th Wireless and Optical Communications Conference (WOCC), 1-5, 2020 | 32 | 2020 |
| Rician K-factor estimation using deep learning M Alymani, MH Alhazmi, A Almarhabi, H Alhazmi, A Samarkandi, YD Yao 2020 29th Wireless and Optical Communications Conference (WOCC), 1-4, 2020 | 19 | 2020 |
| Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems Y Zhou, H Alhazmi, MH Alhazmi, A Almarhabi, M Alymani, M He, S Peng, ... Intelligent and Converged Networks 2 (1), 16-29, 2021 | 12 | 2021 |
| Classification of qpsk signals with different phase noise levels using deep learning H Alhazmi, A Almarhabi, A Samarkandi, M Alymani, MH Alhazmi, Z Sheng, ... 2020 29th Wireless and Optical Communications Conference (WOCC), 1-5, 2020 | 11 | 2020 |
| Qam signal classification and timing jitter identification based on eye diagrams and deep learning A Almarhabi, H Alhazmi, A Samarkandi, M Alymani, MH Alhazmi, YD Yao 2021 30th Wireless and Optical Communications Conference (WOCC), 1-5, 2021 | 4 | 2021 |
| Modulation Classification in a Multipath Fading Channel Using Deep Learning: 16QAM, 32QAM and 64QAM A Samarkandi, A Almarhabi, H Alhazmi, M Alymani, MH Alhazmi, YD Yao 2021 30th Wireless and Optical Communications Conference (WOCC), 6-10, 2021 | 3 | 2021 |
Mofadal AlymaniAssistant Professor, Shaqra UniversityVerified email at su.edu.sa
