Deep Soil Heat and Moisture Coupling Drives Forest Carbon Loss, Machine Learning Study Reveals
Machine learning models trained on a year of field data in China's Wuling Mountains reveal that deep soil temperature-moisture coupling, ...
Machine learning models trained on a year of field data in China's Wuling Mountains reveal that deep soil temperature-moisture coupling, ...
A cross-sectional study of 542 PUBG-playing university students links each additional year of gaming experience to a 25.3 percent increase ...
Researchers in Iran trained an optimized gradient boosting model on 419 tested deep beams and used SHAP analysis to make ...
A new evidence-guided framework called E-MDD combines deep EEG representations, neurophysiological biomarkers, and a constrained large language model to detect ...
A hybrid quantum-classical LSTM model achieved the highest reported accuracy for male infertility risk prediction while identifying daily sitting duration ...
A multicenter study shows that an AI model combining multi-phase CT radiomics with clinical data can accurately distinguish benign from ...
A two-stage machine learning framework can predict health insurance claim denials before submission and assign likely reason codes, achieving a ...
A two-stage imaging and deep learning framework detects and grades infestations of four greenhouse pests, distilling 248 spectral bands into ...
A machine learning model built from routine MRI features distinguished patients with degenerative lumbar spondylolisthesis who needed surgery from those ...
A spatiotemporal attention network that reads fNIRS blood-oxygen signals while patients listen to music classifies levels of consciousness with 88.72 ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine