DroneRF dataset: A dataset of drones for RF-based detection, classification and identification MHDS Allahham, MF Al-Sa'd, A Al-Ali, A Mohamed, T Khattab, A Erbad Data in brief 26, 104313, 2019 | 119 | 2019 |
Deep learning for RF-based drone detection and identification: A multi-channel 1-D convolutional neural networks approach MS Allahham, T Khattab, A Mohamed 2020 IEEE International Conference on Informatics, IoT, and Enabling …, 2020 | 92 | 2020 |
Multi-agent reinforcement learning for network selection and resource allocation in heterogeneous multi-RAT networks MS Allahham, AA Abdellatif, N Mhaisen, A Mohamed, A Erbad, M Guizani IEEE Transactions on Cognitive Communications and Networking 8 (2), 1287-1300, 2022 | 36 | 2022 |
Zero touch realization of pervasive artificial intelligence as a service in 6G networks E Baccour, MS Allahham, A Erbad, A Mohamed, AR Hussein, M Hamdi IEEE Communications Magazine 61 (2), 110-116, 2023 | 21 | 2023 |
I-SEE: Intelligent, secure, and energy-efficient techniques for medical data transmission using deep reinforcement learning MS Allahham, AA Abdellatif, A Mohamed, A Erbad, E Yaacoub, M Guizani IEEE Internet of Things Journal 8 (8), 6454-6468, 2020 | 20 | 2020 |
On the modeling of reliability in extreme edge computing systems MS Allahham, A Mohamed, A Erbad, H Hassanein 2022 5th International Conference on Communications, Signal Processing, and …, 2022 | 7 | 2022 |
B5G: Predictive container auto-scaling for cellular evolved packet core Y Bello, AA Abdellatif, MS Allahham, AR Hussein, A Erbad, A Mohamed, ... IEEE Access 9, 158204-158214, 2021 | 7 | 2021 |
On designing smart agents for service provisioning in blockchain-powered systems N Mhaisen, MS Allahham, A Mohamed, A Erbad, M Guizani IEEE Transactions on Network Science and Engineering 9 (2), 401-415, 2021 | 7 | 2021 |
Reliable federated learning for age sensitive mobile edge computing systems AA Abdellatif, MS Allahham, N Khial, A Mohamed, A Erbad, K Shaban ICC 2023-IEEE International Conference on Communications, 1622-1627, 2023 | 4 | 2023 |
Motivating learners in multiorchestrator mobile edge learning: A stackelberg game approach MS Allahham, A Mohamed, A Erbad, M Guizani IEEE Canadian Journal of Electrical and Computer Engineering 46 (1), 69-76, 2022 | 4 | 2022 |
Rl-assisted energy-aware user-edge association for iot-based hierarchical federated learning H Saadat, MS Allahham, AA Abdellatif, A Erbad, A Mohamed 2022 International Wireless Communications and Mobile Computing (IWCMC), 548-553, 2022 | 4 | 2022 |
ONSRA: An optimal network selection and resource allocation framework in multi-RAT systems AA Abdellatif, MS Allahham, A Mohamed, A Erbad, M Guizani ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 3 | 2021 |
Probabilistic mobility load balancing for multi-band 5G and beyond networks S Al Lahham, D Wu, E Hossain, X Liu, G Dudek 2024 IEEE International Conference on Communications Workshops (ICC …, 2024 | 2 | 2024 |
Energy-efficient multi-orchestrator mobile edge learning MS Allahham, S Sorour, A Mohamed, A Erbad, M Guizani arXiv preprint arXiv:2109.00757, 2021 | 2 | 2021 |
Incentive-based Resource Allocation for Mobile Edge Learning MS Allahham, A Mohamed, H Hassanein 2022 IEEE 47th Conference on Local Computer Networks (LCN), 157-164, 2022 | 1 | 2022 |
Energy-efficient device assignment and task allocation in multi-orchestrator mobile edge learning MS Allahham, S Sorour, A Mohamed, A Erbad, M Guizani 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 1 | 2021 |
Device-Free Human State Estimation using UWB Multi-Static Radios SA Laham, BH Baghi, PY Lajoie, A Feriani, S Herath, S Liu, G Dudek arXiv preprint arXiv:2401.05410, 2023 | | 2023 |
Multi-Orchestrator Mobile Edge Learning: Designing Energy-Efficient Task Allocation and Incentive Schemes MS Al Lahham Queen's University (Canada), 2022 | | 2022 |
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning HDM Dawoud, MS Allahham, AA Abdellatif, A Mohamed, A Erbad, ... 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | | 2021 |