Signal quality detection in mobile network based on synthetic vehicle location data generation using generative adversial neural networks.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Portability of Hybrid machine learning based model for anomaly forecasting in mobile networks.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Robustness Analysis of Hybrid Machine Learning Model for Anomaly Forecasting in Radio Access Networks.
Proceedings of the IEEE Symposium on Computers and Communications, 2023
A Hybrid machine learning based model for congestion prediction in mobile networks.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022
Autonomous Energy Management System Achieving Piezoelectric Energy Harvesting in Wireless Sensors.
Mob. Networks Appl., 2020
Adaptive approaches to energy management and energy harvesting for connected objects. (Approches adaptatives pour la gestion d'énergie pour les objets connectés).
PhD thesis, 2019
Resource Allocation and Event Synchronisation Approach Based on Max-Plus Algebra for Cloud Computing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Game theory based distributed clustering approach to maximize wireless sensors network lifetime.
J. Netw. Comput. Appl., 2018
Low Energy and Location Based Clustering Protocol for Wireless Sensor Network.
Proceedings of the 2018 IEEE International Conference on Communications, 2018