NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting
NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting explores NeuroDDAF is a physics-informed framework for air quality forecasting that unifies neural networks with transport modeling, outperforming baselines and providing calibrated uncertainty.. Commercial viability score: 7/10 in Environmental AI.
Updated 23 hours ago
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