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Review Open access Oct 2026

A Trustworthy Large Language Model-Based Method for Bearing Predictive Maintenance

Large language models (LLMs) can integrate multisource information and generate structured maintenance recommendations. However, their outputs may underestimate risk and fluctuate over time, reducing the practical executability of decisions. To address these issues, this study proposes a trustworthy LLM-based method fo...

Kai Wang, Meng Yan, Da-Qian Yu et al. · 0 citations
Open access Aug 2026

Predicting Cellulose Concentration in Lyocell Slurry Using Hybrid Ensemble of Machine Learning Models

Accurate prediction of cellulose concentration in lyocell slurry is crucial for process control and product quality in sustainable lyocell fiber production, yet the complex, nonlinear nature of the swelling process makes it challenging to model using conventional parametric methods. This study develops a hybrid ensembl...

Huinan Yu, Meng Yan, Da-Qian Yu et al. · 0 citations

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