New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.
Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.
Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...
Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...
Pontificating about the Oscars’ runners and riders is a tradition as old as the ceremony itself. Critics examine the ...
Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs.
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