Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...

From our collaborating partner “Living on Earth,” public radio’s environmental news magazine, an interview by host Steve Curwood and Jenni Doering with forest scientist Suzanne Simard. You might ...

Extends classical decision tree and random forest algorithms from Euclidean space to mixed-curvature product manifolds (hyperbolic $\times$ spherical $\times$ Euclidean). By utilizing angular ...

Around the world, people plan to plant more than 1 trillion trees this decade in an ambitious effort to slow climate change and reduce biodiversity loss. But if the past is prolonged, many of those ...

Abstract: Tree-based ensemble methods remain central to structured and tabular classification tasks; however, classical Random Forest and boosting approaches exhibit limitations in modeling complex ...

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 ...

Research shows that a phenomenon called St. Elmo’s Fire, which occurs during thunderstorms, may be much more common than previously understood. By Annie Roth When lightning strikes in a thunderstorm, ...

There has been much global discussion about the best ways to manage Earth’s forests in an era of climate change and more frequent bushfires. In its new forest plan, the Victorian government has funded ...

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, ...