A paper proposing a hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction was published in the journal Green Energy ...

This schematic illustrates the full workflow of a new study that integrates field and literature data, correlation analysis, and predictive modeling—including machine learning and geochemical ...

While the public may not always be aware, police departments are using machine learning technologies to forecast where crime might occur. Since these systems often use historical data to make ...

A new model to analyse infectious disease outbreak data has been developed by mathematicians that could be used to improve disease tracking and control. A new model to analyse infectious disease ...

All Around Polymer Co. has introduced a data-driven nylon compounding framework designed to significantly reduce validation cycles for manufacturers replacing metals with lightweight engineering ...

COLLEGE STATION, Texas (KBTX) - A researcher at Texas A&M University is developing a data-driven framework to find problems in the supply chain and develop new ones that are more resilient. Texas A&M ...