FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

This project addresses the problem of predicting water levels in fish ponds - a critical factor in aquaculture management. Using Machine Learning, we can: Predict water levels based on environmental ...

The prediction of concrete compressive strength (CS, MPa) is fundamental in experimental civil engineering, as it enables the optimization of mix design and complements laboratory testing through ...

ABSTRACT: The Matrix Element Method (MEM) is a widely used algorithm in experimental and theoretical high-energy physics (HEP) analyses. The MEM is based on the Lagrangian method to assess the ...