Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator Environment

Documenti analoghi

• Deep Q-Learning Assisted Bandwidth Reservation for Multi-Operator Time-Sensitive Vehicular Networking
  di: Al-Khatib, Abdullah, et al.
  Pubblicazione: (2025)
• Use of Graph Neural Networks in Aiding Defensive Cyber Operations
  di: Mitra, Shaswata, et al.
  Pubblicazione: (2024)
• LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
  di: Liu, Dazhuang, et al.
  Pubblicazione: (2024)
• Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors
  di: Staněk, Vojtěch, et al.
  Pubblicazione: (2026)
• RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
  di: Tauhid, Asif, et al.
  Pubblicazione: (2026)