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Publications récentes de l'équipe d'accueil
- Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
- Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
- Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Taxonomy of the Scientific Domain of Smart Life
- On flexible association and placement in disaggregated RAN designs
- Intent-Based Qualification of Industry 4.0 Components
- Joint Optimization for Anti-jamming Communication with UAV-carried Intelligent Reflecting Surface
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- Proceedings of the 3rd International Conference on 6G Networking (6GNet 2024)
- FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
- PSBA-XG: A Publish/subscribe Service-Based Architecture for Beyond 5G Systems
- Function Placement for In-network Federated Learning
- Proceedings of the 2024 International Conference on the Network of the Future
- Data Pipeline System Designs for In-network Learning
- Experiences with disaggregated RAN integrations
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- The complexity of the perfect matching‐cut problem
- Comprehensive Survey on Vehicular Communication Security
- A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs
- Towards the Intent-based Configuration of I4.0 Components
- Supervised Machine Learning for Matchmaking in Digital Business Ecosystems and Platforms
- Reinforcement Learning to Personalize User eXperience within Digital Business Ecosystems
- Vers l’automatisation de la détection d’anomalies réseaux
- DiNATrAX : a Network Anomalies Detection Framework
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- Ecosystème d'Affaires Numériques : Modele organisationnel, roles et gouvernance pour la flexibilité
- Improving NDN Resilience: A Novel Mitigation Mechanism Against Cache Pollution Attack
- Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles