Before the square mapping, the convolutional kernel scales are generally larger, as illustrated by kernel_2 increasing from 60.3 to 76.3, showing a clear trend toward larger scales.
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Research on few-shot fault diagnosis and feature extraction mechanism based on ADPCW-ELCNN.
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