Researchers evaluated eight machine learning models on high-performance concrete mixtures, demonstrating that optimized gradient boosted algorithms and interpretability frameworks accurately...

An explainable machine learning analysis across sixty nations reveals that pharmaceutical pricing provides crucial refinement to life expectancy predictions when...

A retrospective study using the MIMIC-IV database found that machine learning models, particularly Gradient Boosting Decision Trees, outperformed the SOFA...

A new machine learning and GIS assessment reveals that over 71 percent of the West Bengal coast faces moderate to...

A comprehensive engineering review evaluates how machine learning and physics-informed models predict permafrost thaw, active layer dynamics, and infrastructure risks...

Researchers have introduced AutoDQM, an automated data quality monitoring system utilizing beta-binomial statistics and unsupervised machine learning that successfully identifies...

Researchers have developed EMMA-STRAT, a multi-omics machine learning framework integrating mRNA, miRNA, and DNA methylation to stratify endometrial cancer subtypes...

A grid-scale machine learning investigation of Shanghai reveals how urban spatial morphology, economic activities, and natural resource values interact across...

A comprehensive modeling study in Madhya Pradesh reveals that gradient-boosting ensembles outperform complex deep neural architectures in regional wildfire susceptibility...

A hybrid stacking ensemble framework combining physics-based driver models and deep neural networks improves car-following acceleration predictions on snowy highways.