Professor Kyungwho Choi's team of the School of Mechanical Engineering at Sungkyunkwan University, in collaboration with ...

Most public talk about AI focuses on large language models and flashy generative tools. But honestly, the most dependable ...

Fantasy sports have evolved from pen-and-paper stat tracking to AI-powered, data-driven competitions. Today’s platforms use machine learning, real-time analytics, and personalized recommendations to ...

The two-stage AI framework for geopolymer concrete mix design significantly improves predictive accuracy, facilitating the ...

A new AI tool detects pancreatic cancer up to three years early on routine CT scans, outperforming expert radiologists.

From AI-powered forecasting to real-time visibility, supply chain analytics is reshaping how businesses predict demand, manage inventory, and respond to disruptions. Leaders like Walmart are using ...

With the integration of machine learning techniques into the medical field, there has been a sea change in the last couple of years, and a new era of innovation seems to usher in precision healthcare ...

Abstract: Distributed Denial of Service (DDoS) attacks pose an ongoing threat to networked systems, often disrupting services and compromising data integrity. This study presents a real-time approach ...

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 ...

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 ...