Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...
Abstract: This paper introduces an innovative technique for the simultaneous identification of mutual inductance, self-inductance, and load voltage in wireless power transfer systems. Connecting a ...
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