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

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

This necessitates the use of ... monitor uses ML algorithms to note changes in visual behaviors, such as time spent on near vision activities, in children aged 6-16 years. Furthermore, ML methods like ...

Key predictive features included mood scores, game accuracy, and environmental variables like temperature and humidity. The system’s ability to identify risk factors dynamically allowed it to deliver ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

Master’s students in Data Science and Big Data at Hassan II University in Casablanca have developed an AI-powered system that ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.