463 citations
- University of North DakotaUS7 papers
- Mohammed V UniversityMA3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institut National de la Recherche ScientifiqueCA2 papers
- Laboratoire d'Informatique Gaspard-MongeFR2 papers
- Télécom BretagneFR2 papers
- Centre Tecnologic de Telecomunicacions de CatalunyaES1 paper
- Fordham UniversityUS1 paper
- Hassania School of Public WorksMA1 paper
- Huawei Technologies (France)FR1 paper
- Hugging FaceUS1 paper
- Institut de Mécanique des Fluides de ToulouseFR1 paper
26 papers
Joint UAV Activation and Placement for Post-Disaster Wireless Restoration via a Hybrid Quantum-Inspired Evolutionary Framework
Fatima Azzahraa Amarcha, Lahcen Hassine, Rachid Saadane +4
In post-disaster environments, the failure of terrestrial communication infrastructure necessitates the rapid deployment of unmanned aerial vehicles (UAVs) as aerial base stations…
GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data
Abderrahman Skiredj, Ferdaous Azhari, Houdaifa Atou +2
Open-source large language models (LLMs) still marginalise Moroccan Arabic (Darija), forcing practitioners either to bolt on heavyweight Arabic adapters or to sacrifice the very re…
Low Complexity Approaches for End-to-End Latency Prediction
Pierre Larrenie, Jean-François Bercher, Olivier Venard +1
Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a certain Quality of Service (QoS) f…
Low Complexity Adaptive Machine Learning Approaches for End-to-End Latency Prediction
Pierre Larrenie, Jean-François Bercher, Olivier Venard +1
Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a certain Quality of Service (QoS) f…
Federated Learning for Energy Constrained IoT devices: A systematic mapping study
Rachid EL Mokadem, Yann Ben Maissa, Zineb El Akkaoui
Federated Machine Learning (Fed ML) is a new distributed machine learning technique applied to collaboratively train a global model using clients local data without transmitting it…
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid
Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch
Smart grid is an emerging and promising technology. It uses the power of information technologies to deliver intelligently the electrical power to customers, and it allows the inte…