Abstract: In this paper, we provide a novel heterogeneous graph neural network (GNN)-based approach to predict the electromagnetic field (EMF) exposure distribution in an indoor environment. The ...
Abstract: Real-time state-of-health (SoH) estimation is often difficult to obtain due to the unavailability of capacity measurements in real-time monitoring. The equivalent internal resistance (EIR), ...
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