New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Sony's AI-powered robot 'Ace' has become the first real-world autonomous system to match elite human performance in table tennis, according to a Nature study. Equipped with nine synchronized cameras, ...

This writer used homebrew econometrics to advocate for a housing proposal in Pentagon City. Others with data analysis acumen ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Abstract: This paper presents XGBoost, a machine learning algorithm, and blockchain-based cybersecurity protection for a fleet of electric vehicles during charging. It is difficult to identify the ...

A web-based system based on optimized models from 3 clinical scenarios may support clinical decision-making for personalized MPA therapy. A machine learning-driven framework accurately predicts ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

Theft or unauthorised use of a credit card or the disclosure of sensitive financial information is known as credit card fraud. This massive financial crime affects consumers, businesses, and financial ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...