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 ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
The promised gains in efficiency and output often feel just out of reach, as pilots stall, models underperform and even ...
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 ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
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 ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
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