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.

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

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

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 ...

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 ...

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 ...

Scientific analysis of 301 parks, 130 forest patches and 26 ponds in Kathmandu Valley offers practical solutions to combat ...

Technology like LiDAR isn’t just used for scientific research though: it’s also the magic behind some incredible art. Of the Oak uses LiDAR scans, along with data from photogrammetry and CT scans of ...

2019; Torre-Tojal et al., 2022). Several studies found that machine learning algorithms, such as random forest (RF) and support vector regression (SVR) that abandoned the population assumptions that ...

This study published in Engineering offers new insights into the impact of alcoholic liver disease (ALD) on post-transplant ...