Author

Xin-Yu Yang

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Open access Oct 2026

A Cross-Condition Fault Diagnosis Method for Rolling Bearings Combining Content-Conditioned Positional Encoding and Label-Conditioned In-Context Learning

Cross-condition fault diagnosis for rolling bearings is still a difficult task, mainly because vibration signals acquired under varying operating conditions exhibit distribution differences. To address this issue, this paper proposes a cross-condition fault diagnosis method named CCPE-LCIC, which combines Content-Con...

Neng-Chao Wu, Sheng-Cai Wang, J. Bao et al. · Measurement science and tech... · 0 citations

#machine learning Jul 2026

Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition

This work characterises a fundamental phenomenon in models trained on imbalanced data, termed the preference issue, wherein models exhibit higher training error and a larger generalisation gap for classes with limited data and demonstrates that CBS effectively mitigates the preference issue.

Yi-Hang Zhu, Rajeev Raman, Shiqi Su et al. · arXiv.org · 0 citations