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Hongtai Du

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Aug 2026

Dynamic pseudo-label guided adversarial multi-scale graph convolutional network for cross-domain fault diagnosis.

A Dynamic Pseudo-Label Guided Adversarial Multi-Scale Graph Convolutional Network (DPAMGCN) for unsupervised cross-domain fault diagnosis and a dynamic threshold-based pseudo-label filtering strategy is proposed that enhances the model's generalization capability.

Jinqi Gao, Bo Zhang, Tianlong Huo et al. · 0 citations

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