Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.