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Mohamed Elsayed

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Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology

Mar 16, 2023
Muhammad Shehab, Abdullateef Almohamad, Mohamed Elsayed, Ahmed Badawy, Tamer Khattab, Nizar Zorba, Mazen Hasna, Daniele Trinchero

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Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning

Feb 07, 2023
Mohamed Elsayed, A. Rupam Mahmood

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Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systems

Oct 18, 2021
Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Wanyi Shiu, Peiwei Wang

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Autonomous object harvesting using synchronized optoelectronic microrobots

Mar 08, 2021
Christopher Bendkowski, Laurent Mennillo, Tao Xu, Mohamed Elsayed, Filip Stojic, Harrison Edwards, Shuailong Zhang, Cindi Morshead, Vijay Pawar, Aaron R. Wheeler, Danail Stoyanov, Michael Shaw

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Nov 01, 2020
Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

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Low Complexity Neural Network Structures for Self-Interference Cancellation in Full-Duplex Radio

Sep 23, 2020
Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Wanyi Shiu, Peiwei Wang

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