Abstract: Diagnosing rolling bearing faults is critical for maintaining machinery reliability, as these components are essential in reducing friction in rotating systems. The increased bearing failure ...
Abstract: Parameter-efficient transfer learning (PETL) methods have emerged as a solid alternative to the standard full fine-tuning approach. They only train a few extra parameters for each downstream ...
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