The landscape of emergency management is continually evolving, and the ability to predict and respond to airborne hazards in ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
A forecasting system tailored to small watersheds has prevented weather-related disasters, including a flash flood in the ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
Environmental and sustainability experts explain that, in principle, artificial intelligence (AI) is a branch of computer ...
NFC West rivals collide tonight at Lumen Field as the Seattle Seahawks host the Los Angeles Rams for a primetime Thursday Night Football showdown. Oddsmakers expect a physical, down-to-the-wire affair ...
Jeremiyah Love and Notre Dame are hoping to make the CFP after turning a 0-2 start into a 10-2 finish. Justin Casterline / Getty Images Final College Football Playoff arguments have been made on the ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Utilities are moving from manual inspections to real-time, IoT-enabled monitoring systems that provide early warning signs of potential overflows. Advanced analytics and machine learning enable ...
Introduction: This study investigated the relationships between short-duration heavy rainfall (SDHR) events and lightning activity over Guangxi, China, during the pre-summer rainy season from 2019 to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results