Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

Abstract: This study explores the effectiveness of advanced machine learning models in addressing classification challenges within imbalanced datasets. In this paper, two models are developed, ...

A team of scientists at Northwest A and F University has developed a data-driven framework that can accurately predict the ...

Think about how easily you recognize a friend in a dimly lit room. Your eyes capture light, while your brain filters out ...

Using 3D motion capture and machine-learning models, researchers were able to identify elevated depression and anxiety ...

Abstract: One of the key challenges in cross-domain few-shot hyperspectral image classification (HSIC) lies in effectively leveraging spectral-spatial features while alleviating semantic ...