Abstract: In industrial scenarios, the scarcity of labeled data for fault diagnosis of rotating machinery poses a significant challenge to the development of reliable data-driven models. This paper ...
Furthermore, Pearson correlation coefficients for the perceived usefulness dimension, perceived ease of use dimension, and overall scale of the Health-ITUES-R and patient acceptance questionnaire for ...
Abstract: Breast cancer is one of the most common and deadly diseases worldwide, making early and accurate detection critical for improving patient outcomes. Machine learning has shown significant ...
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