The New York Times

U.S. Forest Service to Open Millions of Acres to Off-Road Vehicles, Memo Shows

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 ...
LinkedIn

Classification Algorithms Decision Trees and Random Forest

In Week 18 of my DataraFlow, the focus was on tree-based classification algorithms, specifically Decision Tree and Random Forest classifiers. These models are widely used in machine learning because ...
Nature

Pruning tree forest and re-sampling for class imbalanced problem

Class imbalance remains a critical challenge in machine learning, as it often leads to biased predictions where algorithms disproportionately favor the majority class, resulting in the ...
Nature

Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach

Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...
Science Daily

Space-laser AI maps forest carbon in minutes—a game-changer for climate science

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...
Scientific Research Publishing

Adugna, T., Xu, W., & Fan, J. (2022). Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images ...

ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
Scientific Research Publishing

Pazhanikumar, K. and KuzhalVoiMozhi, S.N. (2023) Remote Sensing Image Classification Using Modified Random Forest with Empirical Loss Function through Crowd-Sourced Data ...

ABSTRACT: In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat ...
C&EN

The Application of a Random Forest Classifier to ToF-SIMS Imaging Data

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
IEEE

Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model

Abstract: Forest fires are one of the most common natural disasters and public crisis events, presenting a serious threat to the ecosystem and human security. The traditional forest fire monitoring is ...
LinkedIn

Unveiling the Power of Random Forest Classification for Land Use Mapping

Mapping land use land cover is essential for understanding and managing our environment effectively. Among the myriad of techniques available, Random Forest Classification stands out as a robust and ...
IEEE

Rational Design of Polymer Composites With Desired Dielectric Properties by Random Forest Classification

Abstract: Data-driven approaches have been widely used in various fields, and there is a growing interest in using machine learning (ML) to discover potential ...