With at least 95% accuracy at key estimate timings in late July and early August, Growmark’s myFS agronomy platform gives its ...

Tiny airborne particles known as aerosols, from biomass burning, urban pollution, and industrial emissions, can dramatically ...

The approach, built on AI-Powered River Flow Predictions, could help water managers, policymakers, and communities better prepare for extreme weather events and climate impacts.

CES 2024 has been a hotbed of novel sensor-technologies and improvements on existing tech, and this year was no exception ...

Discover the best AI tools for weather forecasting that help businesses improve prediction accuracy, optimize operations, and ...

A research team tests two methodologies trained on over 13 years of data, which are capable of predicting extreme wind speeds ...

A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an ...

Predicting land cover change is crucial for biodiversity conservation, climate resilience, and sustainable land use. A new ...

According to Alfred Nobel's will, the Nobel Prize in Physics was to go to "the person who shall have made the most important ...

1 Department of Physics and Chemistry, Ecole Normale Supérieure of Atakpamé, Atakpamé, Togo. 2 Laboratory of Solar Energy, University of Lomé, Lomé, Togo. 3 Laboratory of Applied Hydrology, National ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...