79 citations · 280 across the 24 of their papers we have counts for
26 papers
AUV Trajectory Learning for Underwater Acoustic Energy Transfer and Age Minimization
Mohamed Afouene Melki, Mohammad Shehab, Mohamed-Slim Alouini
Internet of underwater things (IoUT) is increasingly gathering attention with the aim of monitoring sea life and deep ocean environment, underwater surveillance as well as maintena…
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
Sankani Sarathchandra, Eslam Eldeeb, Mohammad Shehab +3
Age-of-information (AoI) and transmission power are crucial performance metrics in low energy wireless networks, where information freshness is of paramount importance. This study…
MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion
Yaya Etiabi, Eslam Eldeeb, Mohammad Shehab +4
Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system…
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
Eslam Eldeeb, Mohammad Shehab, Hirley Alves +1
Semantic and goal-oriented (SGO) communication is an emerging technology that only transmits significant information for a given task. Semantic communication encounters many challe…
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles
Eslam Eldeeb, Mohammad Shehab, Hirley Alves
Task-oriented semantic communication is an emerging technology that transmits only the relevant semantics of a message instead of the whole message to achieve a specific task. It r…
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
Eslam Eldeeb, Houssem Sifaou, Osvaldo Simeone +2
Reinforcement learning (RL) has been widely adopted for controlling and optimizing complex engineering systems such as next-generation wireless networks. An important challenge in…