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

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 ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

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

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

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

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken ...