Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

The primary outcome measure will be the recovery status at 1 month postoperatively, assessed using the Recovery ... Generalised linear mixed models and least absolute shrinkage and selection operator ...

Manchester United are expected to be in the market for a new centre-back in the coming windows and one player they know well ...

Hi TOC. We recently ran our offensive line and quarterback previews and thought this might be an interesting follow-up. It does get kind of long, however, so here is the TLDR summary: Some key ...

Last week, Microsoft announced that it would no longer use China-based engineering teams to support the Defense Department’s cloud computing systems, following ProPublica’s investigation of the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...

Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...

The study investigates the competency assessment outcome of AI-driven training, student engagement, and demographic factors. Previous studies have examined these factors individually, but this ...