Tag: Machine learning

Engineered E. coli strains record chemical and optical inputs in binary or analog swarming patterns that machine-learning models can decode ...

A self-training LightGBM framework developed at Jilin University recognizes mineralization-related geochemical anomalies in Inner Mongolia using sparse labeled and vast ...

Researchers in Türkiye used a hybrid stacking ensemble model and real distribution grid data to forecast hourly electric vehicle charging ...

Researchers have developed a deterministic duel-based imputation framework that selects missing-data replacements by directly testing candidates against forecasting performance, cutting ...

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 ...

A new random forest model with spatial cross-validation reveals that slope and topographic relief control landslide hazards along the Lhasa–Dingri ...

University of Saskatchewan researchers show that hyperspectral imaging paired with machine learning can identify pea seed-borne mosaic virus in individual ...

Researchers developed optimized hybrid XGBoost models that accurately predict blast-induced flyrock distances at Iran's Sungun Copper Mine while identifying powder ...

Researchers in Croatia show that threshold-calibrated machine learning models built on routine clinical and laboratory data can identify a small ...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to ...