Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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 ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

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

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

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

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