Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

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

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

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

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

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