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 ...

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 ...

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 ...

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 ...