Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...

A complete process from digital twins (DTs) to virtual simulation to virtual and real symbiosis for lifeline infrastructures using structural effects as the connecting elements. The theoretical and ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

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 ...

A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...