Abstract: Cross-subject EEG emotion recognition is crucial yet challenged by limited fine-grained alignment and label scarcity in Semi-Supervised Domain Adaptation (SSDA). We propose EPM-AAC-TSLA, a ...

Abstract: Analyzing the uncertainty of electric vehicle (EV) charging behavior is of great significance for the safety, stability, and reliability of power distribution networks. Cluster analysis can ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...