Peijun Ye

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse