In his office at Michigan State University, forestry professor David Carter shows off an image of a virtual forest on his ...

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 ...

COLORADO SPRINGS, Colo. (KRDO) - For the volunteers with Richards Rubbish Roundup, their cleanup on Tuesday afternoon is anything but random. "Some of them, their favorite thing to do, is see how many ...

This repository contains code to precompute the numerical Green's function (NGF) matrix and perform optimization utilizing the PNGF method and direct binary search as described in the paper "Near real ...

Abstract: This paper presents a novel approach to optimizing vehicle-to-grid (V2G) enhanced energy management in microgrid systems through machine learning-based forecasting. The proposed system ...

Everyone is different, and we all have our own unique quirks and idiosyncrasies that make us who we are. There are some of us, though, who get inordinately irked by things the vast majority don’t have ...

ABSTRACT: Accurate canopy height estimation is critical for forest management and carbon monitoring in Zambia’s ecologically diverse landscapes. This study developed a high-resolution canopy height ...

Abstract: Artificial intelligence (AI) + Education brings education opportunities of junior high school students but also triggers potential ethical dilemmas. Random forest is a machine learning ...

I sat in on two small meetings where Sen. Jon Tester’s “Forest, Jobs and Recreation Act” was reviewed and discussed. No one was quite satisfied with it because it was a compromise bill worked out with ...