Research on Unsupervised Domain Adaptive Bearing Fault Diagnosis Method Based on Migration Learning Using MSACNN-IJMMD-DANN

Lignende værker

• Towards bridging the synthetic-to-real gap in quantitative photoacoustic tomography via unsupervised domain adaptation
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  Udgivet: (2025-10-01)
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• Training marine species object detectors with synthetic images and unsupervised domain adaptation
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  Udgivet: (2025-07-01)
• Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion
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  Udgivet: (2025-06-01)
• Unsupervised meta-learning with domain adaptation based on a multi-task reconstruction-classification network for few-shot hyperspectral image classification
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  Udgivet: (2025-03-01)