Machines and Maps Converge on the Drivers of Ghana’s Childhood Anemia Crisis
A hybrid multilevel and machine learning analysis of Ghana's 2022 Demographic and Health Survey identifies nine high-confidence predictors of childhood ...
A hybrid multilevel and machine learning analysis of Ghana's 2022 Demographic and Health Survey identifies nine high-confidence predictors of childhood ...
Using Sentinel-2 imagery, object-based image analysis and a random forest classifier, researchers produced the first high-accuracy map of Bai Tu ...
Researchers trained machine learning models on minute-by-minute facial, audio, and linguistic features from real speed dating conversations, finding that facial ...
Researchers have built an AI pipeline that digitizes paper-based complete blood count reports with PaddleOCR and uses tuned machine learning ...
Researchers in India have built a machine-learning framework that predicts lithium-ion battery temperature during discharge with around one degree Celsius ...
A new study across 40 assets shows that after transaction costs, only a handful of machine learning intraday strategies remain ...
Researchers at Thompson Rivers University built a two-tier Zigbee-LoRa sensor network with browser-based Random Forest inference that delivered near-real-time ignition-risk ...
A twenty-year satellite analysis of Kruger National Park and its surroundings shows Random Forest outperforming three other machine learning classifiers ...
Along the sun-scorched coastlines of Ras Al Khaimah in the United Arab Emirates, one of the most thermally extreme mangrove ...
A new framework coupling Sentinel-1 radar remote sensing, the DSSAT-CERES-Maize model, and multi-objective optimization cuts irrigation water use by up ...
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© 2025 Scienmag - Science Magazine