Machine learning model links urban digital and green features to city methane emissions
An ensemble of LSTM and CatBoost predicts one-year-ahead city-level methane emissions, with urban ecological and environmental quality showing the strongest ...
An ensemble of LSTM and CatBoost predicts one-year-ahead city-level methane emissions, with urban ecological and environmental quality showing the strongest ...
A multi-source graph neural network predicted regional hand-injury risk in Hunan with an R² of 0.83 and identified industrial concentration ...
A UK Biobank study of 47,537 people identified 213 plasma proteins linked to rheumatoid arthritis onset and built a deep ...
Researchers report that a multi-scale graph neural network called NeuroMGCN improves SAT phase prediction and raises solving rates by 4.1 ...
A new spatiotemporal model called RoST-Mamba combines adaptive graph learning, frequency-domain filtering and graph-constrained state-space modeling to keep traffic forecasts ...
A new entropy-weighted feature selection method trims 13 clinical attributes down to 8 and pushes heart disease prediction accuracy to ...
An integrated computational framework combining multicohort transcriptomics, machine learning, molecular dynamics, and single-cell perturbation identifies coumestrol, CD38, and MAPK8 as ...
A study of 269 Mainland Chinese university students in Hong Kong reports that the Chinese version of the SHAPE questionnaire ...
A retrospective study of 896 children finds pituitary volume on MRI behaves as a permissive morphological threshold for hypothalamic-pituitary-gonadal axis ...
A lightweight dual-path convolutional neural network can predict the lift and drag coefficients of an airfoil by combining a picture ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine