Mohamed Akrout
Orcid: 0000-0001-8031-1543
According to our database1,
Mohamed Akrout
authored at least 38 papers
between 2018 and 2024.
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Bibliography
2024
From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer.
IEEE Commun. Mag., July, 2024
CoRR, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE Trans. Wirel. Commun., 2023
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition.
CoRR, 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues.
IEEE Commun. Surv. Tutorials, 2023
Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Physically Consistent Models for Intelligent Reflective Surface-Assisted Communications Under Mutual Coupling and Element Size Constraint.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
IEEE Trans. Commun., 2022
Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2022
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools.
CoRR, 2022
Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning.
CoRR, 2022
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Massive Unsourced Random Access Based on Bilinear Vector Approximate Message Passing.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Antenna Clustering for Simultaneous Wireless Information and Power Transfer in a MIMO Full-Duplex System: A Deep Reinforcement Learning-Based Design.
IEEE Trans. Commun., 2021
Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design.
IEEE J. Sel. Areas Commun., 2021
CoRR, 2021
2020
Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning.
CoRR, 2020
Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design.
CoRR, 2020
Multiple Access in Dynamic Cell-Free Networks: Outage Performance and Deep Reinforcement Learning-Based Design.
CoRR, 2020
2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018