Tag: Machine learning

A compact convolutional neural network developed by Indian researchers outperforms standard machine learning for Cherenkov telescope gamma-ray classification while training ...

Researchers have developed a deep reinforcement learning framework that continuously adapts its market forecasts, achieving an average cumulative return of ...

A machine-learning-driven statistical analysis of a six-metal high-entropy alloy reveals that its CO tolerance in alkaline hydrogen oxidation arises from ...

A new digital twin framework uses ensemble forecasting and a fast, explainable confidence index to defer non-critical water maintenance during ...

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 ...