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 ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Defining the steps involved in a successful technology transfer process would benefit biopharma, say the researchers behind a “generic” blueprint intended to help drug makers move more easily from ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...