Abstract: High-quality, diversified, and large-scale datasets are crucial for creating reliable deep-learning models for biometric applications. Unfortunately, there is a shortage of well-labeled data ...
Abstract: Data-driven approaches for equipment fault detection and diagnosis (FDD), remaining useful life (RUL) prediction, and health management have proven to be efficient for various industrial ...
Diagnostic accuracy comparisons across models under different conditions were conducted using Chi-square tests. Additionally, a survey questionnaire was administered to 11 clinical practitioners ...
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