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 ...

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...

Ensuring improved strength and durability in concrete has become significant in modern infrastructure. This study presents Artificial Neural Networks for predictive analysis to investigate how glass ...

School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, Hubei 430200, China ...