One EEG Electrode May Be Enough to Detect VR Motion Sickness
Researchers used SHAP-based explainable AI to identify a single EEG electrode and just seven features that detect virtual reality motion ...
Researchers used SHAP-based explainable AI to identify a single EEG electrode and just seven features that detect virtual reality motion ...
A machine learning study shows that waste marble dust can replace up to 32 percent of the cement in semi-flexible ...
A new study combines hydrological simulation, machine learning and spatial statistics to rank flood risk for 5,482 historic buildings across ...
An explainable machine learning study of PISA 2022 data finds that digital learning capacity, mathematics anxiety, and their interaction best ...
A Chinese research team combined delta-radiomics from CT scans with clinical data and SHAP-based machine learning interpretation to predict the ...
Researchers in China have developed an interpretable machine learning model that analyzes all liver metastases on contrast-enhanced CT scans to ...
Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...
A hybrid multilevel and machine learning analysis of Ghana's 2022 Demographic and Health Survey identifies nine high-confidence predictors of childhood ...
An interpretable machine learning model built on the Minority Stress Model identified depression risk among men who have sex with ...
A machine learning study of 532 older cancer patients with PICCs found that simple logistic regression outperformed complex algorithms at ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine