Nuclear fuel performance is critically dependent on understanding the evolution of fuel properties under operational conditions, a complex challenge driven by chemical changes and substantial ...

Abstract: Diabetes is a chronic condition affecting millions of people globally, requiring early and accurate prediction to mitigate associated health risks. This study employed a Kaggle dataset with ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Background: Coronary artery disease (CAD) demonstrates a strong bidirectional association with diabetes mellitus, which not only elevates cardiovascular disease risk but also correlates with poorer ...

A comprehensive machine learning solution for predicting productivity in garment manufacturing facilities using historical production data. This project enables factory managers to optimize resource ...

Abstract: Obesity-related health dangers have become a serious global issue that requires adequately pinpointing and quickly preventing health problems. One of the research studies in the article ...

Given features such as age, glucose, insulin, and body mass index, predict whether an individual is non-diabetic, type-1-like, or type-2-like. The system must support experimentation with different ...