Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...

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.

Background Climate change is expected to influence the risk of mosquito-borne diseases by altering mosquito and pathogen ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

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 ...

Linear regression analyzes the relationship between two variables. Multiple regression examines several variables' effects on a single outcome. Both techniques predict an outcome based on historical ...

The Selenium Dilemma Selenium is an element with a dual nature; it is a necessary micronutrient for humans and animals but ...