Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
Abstract: This paper proposes a graph-theoretic approach to ensure stability in networked DC microgrids (DCMGs) during mode switching. This method addresses voltage instability that occurs during mode ...