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

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

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

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

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

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

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

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

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