Yu Bao

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

Accurately identifying hemagglutinin using sequence information and machine learning methods

Twins transformer: Cross-attention based two-branch transformer network for rotating bearing fault diagnosis

Toward more accurate prediction of caspase cleavage sites: a comprehensive review of current methods, tools and features