Abstract: State-of-the-art deep learning models remain data-intensive, requiring large training datasets to ensure their generalization ability. However, in industry, it is quite expensive or ...
Engineered for high-performance in both dry and lubricated applications across automotive and industrial sectorsNORTHVILLE, Mich., Oct. 08, 2025 (GLOBE NEWSWIRE) -- Tenneco proudly introduces ...
Abstract: Aiming at the problems of poor noise immunity and insufficient generalization from traditional deep learning models under small sample conditions and strong noisy background, a method based ...
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