Abstract: Incremental fault diagnosis is an effective way to address the discrepancies between the actual diagnosis data distribution and the trained model. However, the traditional incremental ...
Abstract: To implement deep learning models on edge devices, model compression methods have been widely recognized as useful. However, it remains unclear which model compression methods are effective ...
Methods: Using mixed methods, participants (N=28) completed both a semistructured interview and surveys consisting of health and well-being measures. Participants then participated in a research ...
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