| Edge computing for smart health: Context-aware approaches, opportunities, and challenges AA Abdellatif, A Mohamed, CF Chiasserini, M Tlili, A Erbad IEEE Network 33 (3), 196-203, 2019 | 273 | 2019 |
| Medge-chain: Leveraging edge computing and blockchain for efficient medical data exchange AA Abdellatif, L Samara, A Mohamed, A Erbad, CF Chiasserini, M Guizani, ... IEEE Internet of Things Journal 8 (21), 15762-15775, 2021 | 155 | 2021 |
| Optimal user-edge assignment in hierarchical federated learning based on statistical properties and network topology constraints N Mhaisen, AA Abdellatif, A Mohamed, A Erbad, M Guizani IEEE Transactions on Network Science and Engineering 9 (1), 55-66, 2021 | 126 | 2021 |
| ssHealth: toward secure, blockchain-enabled healthcare systems AA Abdellatif, AZ Al-Marridi, A Mohamed, A Erbad, CF Chiasserini, ... IEEE Network 34 (4), 312-319, 2020 | 119 | 2020 |
| Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence E Baccour, N Mhaisen, AA Abdellatif, A Erbad, A Mohamed, M Hamdi, ... IEEE Communications Surveys & Tutorials 24 (4), 2366-2418, 2022 | 102 | 2022 |
| Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data AA Abdellatif, N Mhaisen, A Mohamed, A Erbad, M Guizani, Z Dawy, ... Future Generation Computer Systems 128, 406-419, 2022 | 94 | 2022 |
| Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation AA Abdellatif, A Emam, CF Chiasserini, A Mohamed, A Jaoua, R Ward Expert Systems with Applications 117, 1-14, 2019 | 83 | 2019 |
| Performance evaluation of hyperledger fabric S Shalaby, AA Abdellatif, A Al-Ali, A Mohamed, A Erbad, M Guizani 2020 IEEE international conference on informatics, IoT, and enabling …, 2020 | 70 | 2020 |
| EEG-based transceiver design with data decomposition for healthcare IoT applications AA Abdellatif, MG Khafagy, A Mohamed, CF Chiasserini IEEE Internet of Things Journal 5 (5), 3569-3579, 2018 | 61 | 2018 |
| A deep learning approach for vital signs compression and energy efficient delivery in mhealth systems MF Al-Sa’D, M Tlili, AA Abdellatif, A Mohamed, T Elfouly, K Harras, ... IEEE Access 6, 33727-33739, 2018 | 43 | 2018 |
| Dynamic network selection in heterogeneous wireless networks: A user-centric scheme for improved delivery A Awad, A Mohamed, CF Chiasserini IEEE Consumer Electronics Magazine 6 (1), 53-60, 2016 | 35 | 2016 |
| Reinforcement learning for intelligent healthcare systems: A comprehensive survey AA Abdellatif, N Mhaisen, Z Chkirbene, A Mohamed, A Erbad, M Guizani arXiv preprint arXiv:2108.04087, 2021 | 32 | 2021 |
| Edge computing for energy-efficient smart health systems: Data and application-specific approaches AA Abdellatif, A Mohamed, CF Chiasserini, A Erbad, M Guizani Energy efficiency of medical devices and healthcare applications, 53-67, 2020 | 31 | 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 | 30 | 2022 |
| Distributed in-network processing and resource optimization over mobile-health systems A Awad, A Mohamed, CF Chiasserini, T Elfouly Journal of Network and Computer Applications 82, 65-76, 2017 | 29 | 2017 |
| Real-time implementation and evaluation of an adaptive energy-aware data compression for wireless EEG monitoring systems A Awad, M Hamdy, A Mohamed, H Alnuweiri 10th International Conference on Heterogeneous Networking for Quality …, 2014 | 29 | 2014 |
| User-centric networks selection with adaptive data compression for smart health AA Abdellatif, A Mohamed, CF Chiasserini IEEE Systems Journal 12 (4), 3618-3628, 2018 | 28 | 2018 |
| Deep reinforcement learning for network selection over heterogeneous health systems Z Chkirbene, AA Abdellatif, A Mohamed, A Erbad, M Guizani IEEE Transactions on Network Science and Engineering 9 (1), 258-270, 2021 | 27 | 2021 |
| EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System A Emam, AA Abdellatif, A Mohamed, KA Harras IEEE Wireless Communications and Networking Conference, 2019 | 27 | 2019 |
| User-centric network selection in multi-RAT systems A Awad, A Mohamed, CF Chiasserini 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2016 | 27 | 2016 |
Amr MohamedProfessor, Qatar University, senior member IEEE確認したメール アドレス: qu.edu.qa
