The forthcoming order echoes President Trump’s decision to repeal executive orders that have protected other public lands from vehicles for decades. By Lisa Friedman Reporting from Washington The ...

In his office at Michigan State University, forestry professor David Carter shows off an image of a virtual forest on his laptop. It's not just any forest. It's a computerized replica, or "digital ...

In his office at Michigan State University, forestry professor David Carter shows off an image of a virtual forest on his laptop. It’s not just any forest. It’s a computerized replica, or “digital ...

A cloud-deployed machine learning microservice for predicting building heating and cooling loads using a Random Forest regression model. This project combines model development, REST API design, cloud ...

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 ...

Abstract: Analyzing the temperature evolution during the construction of mass concrete and establishing accurate prediction models are essential for ensuring structural quality and construction safety ...

Abstract: This study presents an intelligent method for predicting the stopping length of streamers by analysing the current signals accompanying streamer propagation in natural ester insulating ...

Approximately 20% of ischemic strokes in the United States result from carotid artery stenosis. Carotid artery stenting (CAS) can reduce stroke risk, but variability in poststenting health outcomes ...

One of the great challenges of ecology is to understand the factors that maintain, or undermine, diversity in ecosystems, researchers write in a new report in the journal Science. The researchers ...