Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...