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Author

Lei Yan

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Preprint Aug 2026

Physics-Informed Learning of Probabilistic Gegenbauer Reconstruction for Transport-Dominated Problems

A physics-informed machine-learning framework is proposed that predicts probability distributions over candidate Gegenbauer parameter pairs, enabling probabilistically weighted reconstruction while accounting for parameter uncertainty and achieves a more favorable accuracy--cost trade-off than problem-specific model re...

Lei Yan, Yan Jiang · 0 citations
Open access Aug 2026

A bearing fault diagnosis method based on MCDCGAN and DPTAN under data imbalance

A diagnostic framework that combines generative-adversarial data augmentation with dual-branch time–frequency representation learning to improve feature quality and fault classification and achieves better performance than baseline models and maintains robustness under data imbalance and noisy conditions is proposed.

Sen Zhang, Lei Yan, Zhao-Dong Liu et al. · 0 citations

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