Infection with the pathogenic yeast fungus Candida auris (C. auris) can wreak havoc on the health of hospital patients and ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...

From the food in your fridge to the appliances in your home to the car in your driveway, recalls touch everyday life, but the warnings don't always reach us in time. It takes time for the ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...

Ford’s recall problem is like a runaway train and that’s an apt metaphor as their 94th campaign of the year involves an unexpected loss of brake assist. This can increase stopping distances, which may ...

Abstract: Stroke prediction is an essential challenge in health-care, where the timely identification of at-risk individuals can considerably improve patient outcomes and reduce long-term disabilities ...

No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...