IEEE

GAT-HDRL: Hierarchical Deep Reinforcement Learning with Graph Attention Network for Real-Time Scheduling of Satellite Task Flows

Abstract: The rapid expansion of satellite constellations and the surge in real-time data downlink demand have forced Ground Stations (GSs) to process massive amounts of signals within very short time ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...