When Flood Maps Lie: Smarter AI Brings Honesty to Bangladesh Disaster Prediction
A new study of Bangladesh's 2024 Feni flash flood shows that standard flood-susceptibility machine learning inflates accuracy through spatial leakage ...
A new study of Bangladesh's 2024 Feni flash flood shows that standard flood-susceptibility machine learning inflates accuracy through spatial leakage ...
Researchers trained six machine learning models on 2,048 laboratory records and found gradient boosting predicts the compressive strength of cement-free ...
A hybrid Monte Carlo and ensemble machine learning framework achieves an F2 score of 0.808 and AUC-ROC of 0.981 on ...
A new decision-aware framework that couples demand prediction, simulation calibration, and robustness verification lifted JD.com's order fulfillment rate to 92.4 ...
Researchers have developed a gradient boosting method that learns sparse oblique rules, producing simpler and more interpretable prediction models with ...
A new gradient boosting framework called VEFill accurately imputes missing deep mutational scanning scores across protein domains, outperforming existing methods ...
A causally enhanced machine learning model from China predicts cumulative live birth rates in IVF and identifies modifiable factors and ...
Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...
Researchers at Bahir Dar University have built an ensemble lip-reading model for Amharic that combines Gabor filters, Capsule Networks, and ...
A machine-learning web application trained on hundreds of finite element simulations delivers near-instant rock-slope stability forecasts for seismically active mountain ...
Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm Follow' to start subscribing.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine