Aicha Dridi

Orcid: 0000-0002-4490-9027

According to our database1, Aicha Dridi authored at least 14 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2022
A novel efficient time series deep learning approach using classification, prediction and reinforcement : energy and telecom use case. (Une nouvelle approche d'apprentissage en profondeur efficace pour le traitement des séries temporelles utilisant la classification, la prédiction et le renforcement : cas d'utilisations Energie et télécommunications).
PhD thesis, 2022

A Novel Deep Reinforcement Approach for IIoT Microgrid Energy Management Systems.
IEEE Trans. Green Commun. Netw., 2022

Reinforcement Learning Vs ILP Optimization in IoT support of Drone assisted Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
STAD: Spatio-Temporal Anomaly Detection Mechanism for Mobile Network Management.
IEEE Trans. Netw. Serv. Manag., 2021

Embedding ML Algorithms onto LPWAN Sensors for Compressed Communications.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Transfer Learning for Classification and Prediction of Time Series for Next Generation Networks.
Proceedings of the ICC 2021, 2021

Deep Recurrent Learning versus Q-Learning for Energy Management Systems in Next Generation Network.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Machine Learning Application to Priority Scheduling in Smart Microgrids.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

An Artificial Intelligence Approach for Time Series Next Generation Applications.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Heuristic Optimization Algorithms for QoS Management in UAV Assisted Cellular Networks.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Deep Learning Approaches for Electrical Vehicular Mobility Management: Invited Paper.
Proceedings of the 2019 International Conference on Wireless Networks and Mobile Communications, 2019

Optimizing Drone Deployment for Cellular Communication Coverage During Crowded Events.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

Deep Learning Semantic Compression: IoT Support over LORA Use Case.
Proceedings of the 2nd IEEE Middle East and North Africa COMMunications Conference, 2019

Energy Management For Electric Vehicles in Smart Cities: A Deep Learning Approach.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019


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