Multi-UAV path learning for age and power optimization in IoT with UAV battery recharge E Eldeeb, JM de Souza Sant'Ana, DE Pérez, M Shehab, NH Mahmood, ... IEEE Transactions on Vehicular Technology 72 (4), 5356-5360, 2022 | 30 | 2022 |
A learning-based fast uplink grant for massive IoT via support vector machines and long short-term memory E Eldeeb, M Shehab, H Alves IEEE Internet of Things Journal 9 (5), 3889-3898, 2021 | 20 | 2021 |
A learning-based trajectory planning of multiple uavs for aoi minimization in iot networks E Eldeeb, DE Pérez, JM de Souza Sant’Ana, M Shehab, NH Mahmood, ... 2022 Joint European Conference on Networks and Communications & 6G Summit …, 2022 | 11 | 2022 |
Traffic Prediction and Fast Uplink for Hidden Markov IoT Models E Eldeeb, M Shehab, A E. Kalør, P Popovski, H Alves IEEE Internet of Things Journal 9 (18), 17172 - 17184, 2022 | 8 | 2022 |
Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach E Eldeeb, M Shehab, H Alves 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | 2 | 2023 |
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models E Eldeeb, M Shehab, H Alves IEEE Internet of Things Journal, 2023 | 1 | 2023 |
LoRaWAN-enabled Smart Campus: The Dataset and a People Counter Use Case E Eldeeb, H Alves IEEE Internet of Things Journal, 2023 | 1 | 2023 |
Traffic classification and prediction, and fast uplink grant allocation for machine type communications via support vector machines and long short-term memory E Eldeeb E. Eldeeb, 2020 | 1 | 2020 |
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins E Eldeeb, H Sifaou, O Simeone, M Shehab, H Alves arXiv preprint arXiv:2402.08421, 2024 | | 2024 |
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles E Eldeeb, M Shehab, H Alves Authorea Preprints, 2024 | | 2024 |
WP4 Deliverable 4.1 Initial Results on Heterogeneous Big Data Aggregation JM de Souza Sant’Ana, PJ Nardelli, C Kalalas, M Dzaferagic | | |
WP4 Deliverable 4.3 b Report on Heterogeneous Big Data Aggregation II H Alves, E Eldeeb, C Kalalas, PJ Nardelli, M Ullah | | |
WP5 Deliverable 5.3 b Report on detection and prediction techniques: Part b I Christou, PJ Nardelli, P Mulinka, C Kalalas | | |
WP4 Deliverable 4.3 a Report on Heterogeneous Big Data Aggregation I JM de Souza Sant’Ana, E Eldeeb, H Alves, C Kalalas, PJ Nardelli | | |
WP2 Deliverable 2.4 Theoretical Bounds on Rare Events Detection IT Christou, D Gutierrez-Rojas, A Nayaranan, M Ullah, A Sena, P Nardelli, ... | | |