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River stage dynamics drive dissolved oxygen in riparian aquifers
Global sensitivity analysis with deep learning identifies river stage dynamics as primary control on dissolved oxygen in riparian aquifers, with implications for subsurface redox prediction.
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District-level dengue predictions improved with climate and health data
Hybrid explainable AI and Bayesian deep learning system predicts dengue outbreaks at district level in Bangladesh using climate, socioeconomic, and healthcare data from 2017-2024.
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Hybrid VAR models improved forecasting for several macroeconomic indicators
Study integrates VAR models with machine learning algorithms to forecast macroeconomic variables across African economies, demonstrating improved accuracy for inflation and FDI dynamics.