Omar Bouhamed

Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning

N. Bouguila, Omar Bouhamed, Manar Amayri, 2022, Sensors.

Autonomous UAV Navigation: A DDPG-Based Deep Reinforcement Learning Approach

Hakim Ghazzai, Hichem Besbes, Yehia Massoud, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

Lightweight IDS For UAV Networks: A Periodic Deep Reinforcement Learning-based Approach

Moayad Aloqaily, Ouns Bouachir, Ismaeel Al Ridhawi, 2021, 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM).

A UAV-Assisted Data Collection for Wireless Sensor Networks: Autonomous Navigation and Scheduling

Hakim Ghazzai, Hichem Besbes, Yehia Massoud, 2020, IEEE Access.

A DDPG-based Approach for Energy-aware UAV Navigation in Obstacle-constrained Environment

Hakim Ghazzai, Yehia Massoud, Omar Bouhamed, 2020, 2020 IEEE 6th World Forum on Internet of Things (WF-IoT).

A Generic Spatiotemporal Scheduling for Autonomous UAVs: A Reinforcement Learning-Based Approach

Hakim Ghazzai, Hichem Besbes, Yehia Massoud, 2020, IEEE Open Journal of Vehicular Technology.

Leveraging UAVs to Enable Dynamic and Smart Aerial Infrastructure for ITS and Smart Cities: An Overview

Michael C. Lucic, Hakim Ghazzai, Y. Massoud, 2023, Drones.