Tag: Machine learning

Researchers have developed an interpolation-based method that generates synthetic MRI training data between age- and gender-matched participants from different scanners, ...

A machine-learning decomposition of 1.9 million Gallup World Poll responses finds that differing returns to characteristics widen the gender gap ...

A new study reports that hybrid broad learning systems optimized by parameter-free metaheuristics predict concrete compressive strength with MAPE below ...

A twelve-year study of Odisha's Baitarani River combined water quality indices, multivariate statistics and machine learning to identify monsoon-season pollution ...

A random forest model trained on acoustic emission signals from granite hydraulic fracturing experiments forecast specimen failure up to 1800 ...

A new perspective argues that liquid–liquid phase separation should be studied as an evolvable molecular phenotype shaped by natural selection.

A new study compiled published data on biochar-modified cementitious composites and used machine learning to explore compressive strength retention, finding ...

A study of four Chinese university campuses used street-view imagery and machine learning to show that sky visibility and vegetation ...

A prospective community-based cohort study in Yulin, China, found that the TyG-CVAI index outperformed nine other TyG-derived indices in predicting ...

A new editorial argues that treatment disengagement, care inequalities and stigma remain the central barriers to improving HIV outcomes worldwide.