IEEE

RadioGAT: A Model-Based Learning Framework for Radio Map Reconstruction via Graph Attention Networks

Abstract: Reconstructing accurate radio maps is crucial for optimizing wireless network performance and managing spectrum efficiently. In real-world scenarios, radio map data, often sparse and ...
IEEE

Integrating Self-Organizing Map and Graph Neural Networks to Detect Anomalies in Time-Series Data

Abstract: Anomaly detection is essential in industrial cyber-physical systems (ICPS) for monitoring both system and environmental conditions. However, effective anomaly detection remains a continuous ...