Applied Analytics student M. Rake Lingor Anggoro discusses his research, presented to the IEEE SusTech 2025 Conference, on ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Continuous emission monitoring systems (CEMS) were originally designed to meet regulatory reporting requirements. In a typical stack monitoring installation a gas sample is extracted, ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...