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

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

A research team led by Professor Kanghyun Nam at the Department of Robotics and Mechanical Engineering, DGIST, has developed ...

Researchers unveiled a “physical AI” system that detects electric vehicle stability loss in real time to improve EV safety.