The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Traffic is falling as AI answers replace clicks. The upside: bottom-of-funnel content converts better. Here’s how to turn ...

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

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

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 ...

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 ...