Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Background Depression is a risk factor and complication of coronary artery disease (CAD) that is associated with poor ...

What is the new definition for the Aravalli Hills and Range? Not one, but two definitions are in play here. One, for the ...

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to neurodegenerative disorders such as Alzheimer's and Parkinson's disease. A new study ...

This project implements a Federated Random Forest (FRF) using the federated learning library Flower and the sklearn random forest classifier. It is demonstrated through three clients as an example.

In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

Background: Ischemic stroke (IS) is a significant global health issue, causing high rates of morbidity, mortality, and disability. Since conventional Diagnosis methods for IS have several shortcomings ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...