Abstract: This paper presents a novel digital twin for power modules in electric vehicles (EVs), utilizing physics-informed Artificial Intelligence (AI) to predict thermomechanical stresses.
Few-Shot Learning (FSL) is a technique aimed at improving a model’s ability to generalize to unseen categories using only a small amount of labeled data. Representative shift vectors and the hubness ...
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