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Publications

  • A. Almarhabi, H. Alhazmi, A. Samarkandi, and Y. -D. Yao, "Modulation Classification Based on Eye Diagrams and Deep Learning," 2022 31st Wireless and Optical Communications Conference (WOCC), 2022, pp. 35-40, \doi:10.1109/WOCC55104.2022.9880590.
  • A. Almarhabi, H. Alhazmi, A. Samarkandi, M. Alymani, M. H. Alhazmi, and Y. -D. Yao, "QAM Signal Classification and Timing Jitter Identification Based on Eye Diagrams and Deep Learning," 2021 30th Wireless and Optical Communications Conference (WOCC), 2021, pp. 1-5, doi: 10.1109/WOCC53213.2021.9603028.
  • A. Almarhabi, A. Joshi, and S. Aydore, "Fast Detection of Brains With Abnormalities Using Recursive Nearest Agglomerative Clustering," Organization for Human Brain Mapping (OHBM), 2019 (poster).
  • H. Alhazmi, A. Almarhabi, A. Samarkandi, and Y. -D. Yao, "Modulation Classification of QAM Signals with Different Phase Noise Levels Using Deep Learning," 2022 31st Wireless and Optical Communications Conference (WOCC), 2022, pp. 57-61, doi: 10.1109/WOCC55104.2022.9880580.
  • A. Samarkandi, A. Almarhabi, H. Alhazmi, M. Alymani, M. H. Alhazmi, and Y. -D. Yao, "Modulation Classification in a Multipath Fading Channel Using Deep Learning: 16QAM, 32QAM and 64QAM," 2021 30th Wireless and Optical Communications Conference (WOCC), 2021, pp. 6-10, doi: 10.1109/WOCC53213.2021.9603108.
  • H. Alhazmi, A. Almarhabi, A. Samarkandi, M. Alymani, M. H. Alhazmi, Z. Sheng, and Y. -D. Yao, "Classification of QPSK Signals with Different Phase Noise Levels Using Deep Learning," 2020 29th Wireless and Optical Communications Conference (WOCC), 2020, pp. 1-5, doi: 10.1109/WOCC48579.2020.9114928.
  • M. Alymani, M. H. Alhazmi, A. Almarhabi, H. Alhazmi, A. Samarkandi, and Y. -D. Yao, "Rician K-Factor Estimation Using Deep Learning," 2020 29th Wireless and Optical Communications Conference (WOCC), 2020, pp. 1-4, doi: 10.1109/WOCC48579.2020.9114948.
  • Y. Zhou, H. Alhazmi, M. H. Alhazmi, A. Almarhabi, M. Alymani, M. He, S. Peng, A. Samarkandi, Z. Sheng, H. Wang, and Y. -D. Yao, "Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems," in Intelligent and Converged Networks, vol. 2, no. 1, pp. 16-29, March 2021, doi: 10.23919/ICN.2021.0004.
  • M. H. Alhazmi, M. Alymani, H. Alhazmi, A. Almarhabi, A. Samarkandi, and Y. -D. Yao, "5G Signal Identification Using Deep Learning," 2020 29th Wireless and Optical Communications Conference (WOCC), 2020, pp. 1-5, doi: 10.1109/WOCC48579.2020.9114912.