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This study derives both from a decomposition of the detector itself and measures the cost of edge-deployable novelty detection and cross-environment adaptation.
A deep reinforcement learning–based joint orchestration algorithm (DRL-JOA) employing graph attention networks is proposed to solve the sum rate maximization problem in beyond diagonal reconfigurable intelligent surface (BD-RIS)-assisted multicell transportation networks within a space-air-ground integrated network fra...
STT-EEG strengths include the high interpretability of the framework, its spatio-temporal attention, and the fact that STT-EEG is a self-supervised learning method and can be used in an efficient and generalizable way.
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