Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...
Abstract: Bearing cross-domain fault diagnosis (CDFD) remains challenging due to the significant domain discrepancy in different bearing data. A novel transfer-coupled dictionary learning (TCDL) ...
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