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 UK Biobank study of 47,537 people identified 213 plasma proteins linked to rheumatoid arthritis onset and built a deep ...
A narrative review in Cancer Cell International outlines how artificial intelligence can integrate genomic, transcriptomic, imaging, and other multi-omics data ...
An editorial in Frontiers in Molecular Biosciences highlights how explainable machine learning pipelines turn metabolomics, transcriptomics and health survey data ...
A prospective study of 73 patients found that whole-tumor histogram features from five non-Gaussian diffusion MRI models, particularly DKI kurtosis ...
A machine learning tool combining quantitative muscle MRI fat fractions with clinical scores predicts when boys with Duchenne muscular dystrophy ...
A nationwide analysis of 127 Chinese historical and cultural cities finds that heritage–tourism coordination is highly scale-sensitive and that predictive ...
A stacking machine learning model integrating pain, school, psychosocial, and family variables identified comorbid anxiety disorder in children and adolescents ...
A Random Forest classifier predicts U.S. News mechanical engineering graduate program rank intervals with 0.91 test accuracy, revealing which measurable ...
A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported anger-management improvement in adolescents, but ...
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© 2025 Scienmag - Science Magazine