Machine Learning Predicts Shear Capacity of Perfobond Rib Connectors in Concrete
Researchers evaluated machine learning models to predict the ultimate shear capacity of perfobond rib connectors, finding that XGBoost delivered the ...
Researchers evaluated machine learning models to predict the ultimate shear capacity of perfobond rib connectors, finding that XGBoost delivered the ...
Elevated baseline levels of adenosine deaminase and total bile acids independently predict three-year incident coronary artery disease risk in hospitalized ...
A comparative study in Isfahan Province demonstrates that CatBoost delivers superior predictive accuracy for seasonal water consumption by integrating environmental ...
A dual-cohort machine learning study found that preadmission metformin use was associated with significantly reduced odds of acute kidney injury ...
A retrospective two-center study demonstrates that a LightGBM machine learning model accurately predicts late recurrent intussusception in children following successful ...
A radiological study of 306 Egyptian adults demonstrated that machine learning algorithms, led by decision trees using femoral head diameter, ...
A machine-learning random forest model demonstrated superior discrimination over traditional scoring tools for predicting in-hospital mortality following percutaneous coronary intervention ...
A comprehensive systematic review of more than 230 studies reveals that while artificial intelligence enhances groundwater mapping accuracy, real-world adoption ...
An exploratory prospective study found that machine learning and penalized regression models predicting five-year arterial stiffness changes failed to outperform ...
Researchers developed and internally validated an interpretable machine learning model predicting incident cardiovascular disease among adult cancer survivors following systemic ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine