This research introduces a multi-resolution exploration method, enhancing robotic navigation efficiency and adaptability in ...

The forces shaping forests in the coming decade extend beyond any single driver. Shifts in politics, finance and technology ...

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

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Should U.S. Supreme Court Justices be sharing their views about AI? Some say yes, others insist no. I discuss the matter and ...

A new technical paper, “Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic ...

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.

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...

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 ...