A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...

Using CLASSIC, Rice researchers realized that circuits are variable, having multiple pathways to elicit the same outcome.

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...

Abstract: Artificial intelligence has transformed healthcare through improved disease prediction and diagnostic accuracy. However, the prediction of osteoporosis remains challenging due to limitations ...

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

Researchers analyzed clinical data and RNA expression from the peripheral blood of 174 patients with gout and hyperuricemia that had been collected at week 48 of their participation in the STOP Gout ...