A new study combines interpretable machine learning and satellite change detection to build dynamic socio-environmental baselines along the Char Dham...

Machine learning forecasts of international student flows to the United Kingdom reveal a concentration paradox in which apparent diversification masks...

Researchers combined peptidomics, machine learning and molecular simulation to identify five novel long-chain umami peptides in Dengchuan beef that taste...

Researchers have developed a low-cost 3D-printed lightbox that standardizes smartphone photography of agar plates, reducing reflective artifacts and improving machine...

A new systematic review shows that machine learning, particularly tree-based ensembles and Random Survival Forests, can reliably predict water pipeline...

A major new review argues that classical numerical methods and machine learning are epistemologically distinct tools for solving partial differential...

Researchers developed an eight-variable XGBoost machine learning model that predicts ICU mortality in spine fracture patients as accurately as the...

Researchers trained interpretable machine learning models on pandemic-era survey data to classify healthcare workers by psychological resilience, finding stress, depression,...

A new field study in semi-arid southern India shows forest soils emit up to thirty times more CO₂ than fallow...

A low-cost, twelve-minute step test combined with k-means clustering accurately stratified young adults into acute mountain sickness-susceptible and non-susceptible groups...