Machine Learning Reads TBM Data to Classify Rock Mass Automatically
An interpretable machine learning framework classified rock mass conditions along China's Beishan URL spiral ramp from stable TBM sensor data ...
An interpretable machine learning framework classified rock mass conditions along China's Beishan URL spiral ramp from stable TBM sensor data ...
A benchmark of six machine learning models on 1,849 reinforced concrete beams shows LightGBM beating ACI and CSA design codes, ...
An ensemble machine learning study of Dhaka identifies rainfall, elevation and road density as the dominant drivers of waterlogging susceptibility ...
A LightGBM-based diagnostic model was developed and validated in a multicenter retrospective study to improve the timely identification and risk ...
A deep learning model analyzing eye positioning and video-based attention achieved over 97% accuracy in distinguishing autistic from non-autistic children ...
A cross-sectional analysis of 6,960 children and adolescents in four Chinese provinces links higher dietary methionine and threonine shares with ...
A retrospective single-centre study found that XGBoost, random forest and LightGBM models classified preoperative anxiety in 271 femoral neck fracture ...
Researchers built a synthetic, Japan-calibrated medical claims benchmark with traceable fraud counterfactuals and a frozen single-access evaluation, reporting strong anti-fraud ...
Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit, accurate equation for concrete creep ...
Machine learning models that incorporate genome-wide markers for environmental responsiveness have improved cross-environment genomic prediction across four crops and generated ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine