Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs.

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

Pontificating about the Oscars’ runners and riders is a tradition as old as the ceremony itself. Critics examine the ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN ...