Abstract: In order to improve predictive accuracy for insufficient observations, data augmentation is a well-known and commonly useful technique to increase more samples by generating new data which ...
Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...
Abstract: Given that vibration fault signals collected from industrial circumstances are usually insufficient and have no labels, supervised learning networks cannot be directly applied to recognize ...
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