AI Listens for Asthma: New Audio Model Hits Over 96% Accuracy
Researchers in India have built an AI framework that classifies respiratory audio with over 96 percent accuracy, offering a non-invasive ...
Researchers in India have built an AI framework that classifies respiratory audio with over 96 percent accuracy, offering a non-invasive ...
Researchers in India developed a machine learning framework that predicts uranium contamination in groundwater from routine water quality measurements, cutting ...
Researchers combined LightGBM, Random Forest, and XGBoost models with docking and molecular dynamics simulations to identify three novel serotonin transporter ...
Researchers in China built a LightGBM-based prediction model that identifies which patients with proliferative diabetic retinopathy are likely to have ...
A multi-level stacking ensemble of five machine learning models mapped porphyry copper-gold prospectivity in northwest Iran with an AUC of ...
A self-training LightGBM framework developed at Jilin University recognizes mineralization-related geochemical anomalies in Inner Mongolia using sparse labeled and vast ...
Researchers in Türkiye used a hybrid stacking ensemble model and real distribution grid data to forecast hourly electric vehicle charging ...
Researchers used OCO-2 satellite data and a LightGBM machine learning model to build the first daily, high-resolution global maps of ...
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© 2025 Scienmag - Science Magazine