This third iteration of the Lancet Countdown on health and climate change in Europe report systematically tracks the health effects of climate change adaptation and mitigation action, economics and ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

In 2005, the Director of Plans and Programs in the Office of the Director of Defense Research and Engineering (DDR&E) presented three reasons why disruptive technologies are of strategic interest to ...

Abstract: A machine learning-based model for student grade prediction employs the above-stated data, the student's current performance, and variables like attendance, study hours, homework submission, ...

I have successfully run the deep learning models. However, when I run the Gradient Boosting Regression model, the predictions collapse into a straight flat line. I would like to understand why this ...

Aspinall: One of the most important things is you need to be using either a tee or a single-pronged ball mark repair tool to do it properly. You go vertically down into the middle of the deepest part ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

Abstract: The demand for vaccines is significantly increasing in various countries due to heightened population mobility and the prevalence of epidemics. This study employed machine learning methods ...