Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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 ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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

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