Conférences Actes IEEE

GLOBECOM 2025Taipei, Taiwan · 2025
[C.1] MEDUS — VANET traffic simulator for performance study and QoS measuring
A. R. Hamadou Adamou, L. Mokdad, J. Ben Othman, A. Benzerbadj
IEEE Global Communications Conference, pp. 2946–2951, 2025
DOI 10.1109/GLOBECOM59602.2025.11432599
ICC 2025Montréal, Canada · 2025
[C.2] Hybrid Deep Learning Optimization for Accurate Trajectory Prediction in Vehicular Networks
A. R. Hamadou Adamou, L. Mokdad, J. Ben Othman, A. Benzerbadj
IEEE International Conference on Communications, pp. 4197–4202, 2025
DOI 10.1109/ICC52391.2025.11162119
GLOBECOM 2024Cape Town, Afrique du Sud · 2024
[C.3] A Deep Learning Model for Mobility Prediction in VANET
A. R. Hamadou Adamou, L. Mokdad, J. Ben Othman, A. Benzerbadj
IEEE Global Communications Conference, pp. 3727–3732, 2024
DOI 10.1109/GLOBECOM52923.2024.10901633
ICICM 2023Le Caire, Égypte · 2023
[C.4] Enhancing Roundabout Performance Measures through a New Generic Simulink-Based Simulator
A. R. Hamadou Adamou, L. Mokdad, J. Ben Othman, A. Benzerbadj
13th International Conference on Information Communication and Management, pp. 1–8, 2023
DOI 10.1145/3640429.3640441

En soumission Journal

IEEE TVTEn cours · 2026
[Js.1] Deep Learning Models for GPS-Based Trajectory Prediction in VANETs: Design, Optimization, and Comparative Analysis
A. R. Hamadou Adamou, L. Mokdad, J. Ben Othman, A. Benzerbadj
Manuscript soumis à IEEE Transactions on Vehicular Technology