Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...
Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...
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