Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Of the four machine-learning models, the long short-term memory model best modelled the rainfall-runoff process. Additionally, four ensemble techniques were examined to improve the accuracy of single ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...