Abstract: In this article, we propose a novel machine learning approach for uncertainty quantification (UQ) within the partial equivalent element circuit (PEEC) framework, employing physics-informed ...
Abstract: The robustness of Bayesian neural networks (BNNs) to real-world uncertainties and incompleteness has led to their application in some safety-critical fields. However, evaluating uncertainty ...
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