Intelligent fault diagnosis harnesses advanced data-driven approaches to detect and classify defects in machinery, thereby enhancing reliability and reducing unplanned downtime. Traditional methods ...

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...