Urban landscapes could be cooled by up to 3.5 degrees using a QUT-developed AI-based tool that optimizes where trees and which species are planted to make cities cooler, greener and more resilient in ...

Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

The triage guide is intended to make sure patients get appropriate care, especially with the rise in telehealth and ...

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Bitterly cold arctic air has blanketed parts of the United States over the last week, with some areas getting snow and subzero temperatures. Along with the cold weather comes a natural event called ...

Severe cold temperatures hitting much of the country this week could branch out − literally. As people brace for the winter weather, some social media posts in recent days have warned of the chance ...

John Seiler was strolling across Virginia Tech’s campus with his students Thursday morning when something stopped them in their tracks: a sweet cherry tree with an unusual jagged scar running along ...