The machine learning model, built using logistic regression, marked a substantial improvement, with 87.35% overall accuracy.

The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

The following is a summary of “Arts on prescription intervention for primary healthcare patients with poor mental health or ...

When NFL rookies burst onto the scene with splashy success, it's not hard to proclaim them surefire stars of the future. If a ...

The following is a summary of “Impact of the Geriatric Nutritional Risk Index on short-term prognosis of patients with sepsis ...

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

In a forest green Cult Gaia bikini, hand on hip, knee-deep in Bermuda’s turquoise waters, the 34-year-old made history ...

Research published in the International Journal of Data Science has used machine learning to predict the lifecycle of ...

Model cards are supposed to say what AI systems do and what they’re used for, but CBP says these cards are too sensitive to ...

A machine learning model incorporating treated astigmatism and nuanced inputs is advancing the precision and personalization ...

Test your CMA knowledge with our curated questions designed to boost confidence and prepare you for success. Read the article ...

A cross-sectional study of 3,997 adults in Türkiye found that ultra-processed food (UPF) intake is strongly linked to food ...