Watching hours of “sheepdog YouTube”—competitions where trained dogs shepherd a small number of unpredictable sheep—gave ...

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 ...

A Python implementation of the Truly Spatial Random Forests (SRF) algorithm for geoscience data analysis. Based on: Talebi, H., Peeters, L.J.M., Otto, A. & Tolosana-Delgado, R. (2022). A Truly Spatial ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. That is, you’re probably the only person who has ever arranged the cards in precisely that order. Although ...

Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...

U.S. Secretary of Agriculture Brooke Rollins issued a memo on Friday ordering the expansion of American timber production on U.S. Forest Service land, including large areas of Big Sur. The order calls ...