This article develops a pair of new prediction summary measures for a nonlinear prediction function with right-censored time-to-event data. The first measure, defined as the proportion of explained ...

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

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...