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Adaptive Meta Transfer Learning with Efficient Self-Attention for Few-Shot Bearing Fault Diagnosis
The success of these meta-learning methods in few-shot bearing fault diagnosis depends strictly on the assumption that the meta-training set and the meta-testing set share the same distribution, which inevitab...