Abstract: As a critical component of rotating machinery, the fault diagnosis of bearings holds significant importance. The deep learning-based approach to bearing fault diagnosis necessitates a ...
The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering ...
Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
Abstract: Large-scale, high-quality data are considered an essential factor for the successful application of many deep learning techniques. Meanwhile, numerous real-world deep learning tasks still ...
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