Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Abstract: This study tackles the challenge of optimizing light emitting diode (LED) street lighting to enhance energy efficiency without compromising safety and comfort in dynamic urban environments.

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

Healthcare AI moved beyond the pilot phase in 2025. From saving hundreds of lives to reducing costs by $20 million to more than $100 million annually, health systems started experiencing measurable ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

Thousands of dengue forecasting models have been published, but few have been tested in real public-health settings. Now, researchers from the US and Australia are launching a field evaluation in ...

Overview: AI-driven finance platforms in 2026 have evolved from simple expense trackers into predictive systems that model cash-flow behavior and spending risk.

Matthew Breece, assistant professor of marine science at St. Mary’s College of Maryland, has received a subaward exceeding ...