Esra Alhadhrami

Publications

Article dans une revue (1)

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization Raed Abu Zitar,Esra Alhadhrami,Laith Abualigah,Frederic Barbaresco,Amal Elfallah Seghrouchni Neural Computing and Applications, 2024, 36 (18), pp.10501-10525. ⟨10.1007/s00521-024-09602-4⟩ Article dans une revue hal-04929932v1

Communication dans un congrès (1)

Testing Different Multi-Target/Multi-Sensor Drone Tracking Methods Under Complex Environment Esra Alhadhrami,Amal El Fallah Seghrouchni,Frederic Barbaresco,Raed Abu Zitar 2024 International Radar Symposium (IRS), Jul 2024, Wroclaw, Poland. pp.352-357 Communication dans un congrès hal-04929948v1

Proceedings/Recueil des communications (3)

Advanced Radar Target Tracking: Synergizing Deep Learning LSTM Clutter Filtering with Joint Probabilistic Data Association Esra Alhadhrami,Clément Pira,Rami Kassab,Amal El Fallah Segrouchni,Frederic Barbarescoet al. Synergies in Data Analytics and Cyber Security, Dec 2024, Bodh Gaya, India. Lecture Notes in Electrical Engineering, 1479, Springer Nature Singapore, pp.593-607, 2026, Lecture Notes in Electrical Engineering, 978-981-95-2680-2. ⟨10.1007/978-981-95-2680-2_46⟩ Proceedings/Recueil des communications hal-05562532v1
Explainable AI-Driven Radar Tracking: Clutter Filtering and Feature Analysis with LSTMS Esra Alhadhrami,Rami Kassab,Clément Pira,Ahmed Alhammadi,Amal El Fallah Segrouchniet al. 2025 26th International Radar Symposium (IRS), May 2025, Hamburg, Germany. IEEE, pp.1-7, 2025, ⟨10.23919/IRS64527.2025.11046075⟩ Proceedings/Recueil des communications hal-05198092v1
Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization Esra Alhadhrami,Amal El Fallah Seghrouchni,Frederic Barbaresco,Raed Abu Zitar 24th International Radar Symposium (IRS), 2023, Berlin, Germany. Proceedings of the IEEE, 2023 24th International Radar Symposium (IRS), pp.1-10, 2023, ⟨10.23919/IRS57608.2023.10172435⟩ Proceedings/Recueil des communications hal-04169193v1

Thèse (1)

An Innovative Integration of JPDA-LSTM Synergy and Explainable AI for Enhanced Multi-Target Tracking and Radar Performance Esra Alhadhrami Artificial Intelligence [cs.AI]. Sorbonne Université, 2025. English. ⟨NNT : 2025SORUS302⟩ Thèse tel-05413117v1