Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Abstract: Flooding in India, exacerbated by heavy rainfall from tornadoes, has caused significant damage in recent years. This study aims to enhance flood prediction using machine learning techniques.

Abstract: Cardiovascular diseases (CVDs) have evolved as a critical public health challenge driving high mortality rates and causing fatal physical damages. The CVDs have immense adverse impacts on ...