Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...