Abstract: This letter proposes a sparse identification of nonlinear dynamics—physics informed neural network—particle swarm optimization algorithm for optimizing the air-gap design of transformers ...
Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
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