Ke Yan

Diagnosis of Interturn Short-Circuit Faults in Permanent Magnet Synchronous Motors Based on Few-Shot Learning Under a Federated Learning Framework

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

Applications of machine learning to machine fault diagnosis: A review and roadmap

An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems

Survey of Deep Learning for Autonomous Surface Vehicles in Marine Environments

Theoretical and experimental investigation on the thermal characteristics of double-row tapered roller bearings of high speed locomotive

Investigation on heat dissipation characteristic of ball bearing cage and inside cavity at ultra high rotation speed

A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis

A novel MP-LSTM method for ship trajectory prediction based on AIS data

Thermal-deformation coupling in thermal network for transient analysis of spindle-bearing system