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 ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
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 ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
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