Recently published study focused on the challenges of predicting preeclampsia (PE) within the first 16 weeks of gestation due to its complex nature, poorly understood causes, and ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Scientists are testing artificial intelligence to improve tsunami warnings in Tofino, Canada, helping thousands evacuate more ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a system that exceeds human discernment when it comes to measuring ...

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a system ...

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...

An AI-driven framework improves early credit risk detection in internet finance by integrating CNNs and knowledge graph theory. The system enhances prediction accuracy across structured and ...