Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.

​For much of the past decade, post-quantum cryptography (PQC) lived primarily in academic journals and standards committees.

Google published a paper on March 31 that states that Bitcoin's cryptography could be impacted by quantum computing sooner than previously stated.

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: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Abstract: The random forest algorithm was applied to the dry slag discharge control system in power plants to enable intelligent control of thermal slag transportation, discharge, and damper ...

Forests play a major role pulling planet-warming carbon dioxide out of the atmosphere. As the world heats up, some forests are becoming emitters in their own right. By Sachi Kitajima Mulkey and Harry ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...