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 ...

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: This paper introduces a new method for monitoring tire pressure and improving vehicle safety by combining cloud computing with Decision Tree (DT) algorithms. Although tire pressure is an ...

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 ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

1 Department of Statistics, University of Sumer, Rifai, Iraq 2 Department of Statistics and Informatics Techniques, Northern Technical University, Mosul, Iraq In this paper, we considered a new study ...