Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
Abstract: With the growing demand for high-precision water body extraction in complex environments, traditional segmentation models continue to face challenges such as insufficient boundary detection ...
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