Similarly, modest discriminatory accuracy seen for four models targeting women with a family history of breast cancer.

NMFTA’s Classification Reimagined initiative aims to simplify NMFC rules and improve freight classification accuracy for LTL ...

Gracenote, the content intelligence business unit of Nielsen, today released its latest report, “Plot holes in AI: Why ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...

Study: Genetic association and machine learning improve the prediction of type 1 diabetes risk. Image credit: sasirin pamai/Shutterstock.com Researchers performed genetic association analysis and ...

Abstract: Voltage sag, swell, harmonics, and transients are power quality (PQ) disturbances that damage modern electrical apparatus. This paper presents an effective classification approach using ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...