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Showing 1 to 1 of 1 for “"Machine learning/GEOAI"”.
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Integrating AI and GIS for Climate-Driven Malaria Monitoring and Demand-Based Resource Distribution and Supply Optimization in Low Developing Countries
… Weighted Regression (GWR), and Random Forest machine learning (R2 = .86) to analyze transmission dynamics. Key findings reveal that minimum temperature is the strongest predictor of transmission (p < .001), while rainfall acts as a reliable 30-day (Lag-1) lead indicator. Emerging Hot Spot …