To develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

WEST LAFAYETTE, Ind. — Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Abstract: A high-precision storm-time ionospheric model is crucial for both ionospheric research and precise positioning applications of global navigation satellite systems (GNSSs). However, the ...

Abstract: Sleep stage classification, essential for diagnosing sleep disorders, monitoring neurological health, and advancing cognitive neuroscience. Traditionally involves manual scoring of ...

Forests play a major role pulling planet-warming carbon dioxide out of the atmosphere. As the world heats up, some forests are becoming emitters in their own right. By Sachi Kitajima Mulkey and Harry ...

ProPublica is a nonprofit newsroom that investigates abuses of power. Sign up for Dispatches, a newsletter that spotlights wrongdoing around the country, to receive our stories in your inbox every ...

Your browser does not support the audio element. Masking is a way to tell sequence-processing layers that certain timesteps in an input are missing, and thus should ...