STDDN integrates the fluid continuity equation into a Neural ODE with density-velocity graph learning to improve long-term crowd trajectory prediction and reduce inference latency.
Airphynet: Harnessing physics-guided neural networks for air quality prediction.arXiv preprint arXiv:2402.03784
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TopoFlow embeds topography and wind into a vision transformer via attention and patch reordering, cutting PM2.5 RMSE to 9.71 μg/m³ and beating operational systems by 71-80%.
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STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation
STDDN integrates the fluid continuity equation into a Neural ODE with density-velocity graph learning to improve long-term crowd trajectory prediction and reduce inference latency.
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TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Prediction
TopoFlow embeds topography and wind into a vision transformer via attention and patch reordering, cutting PM2.5 RMSE to 9.71 μg/m³ and beating operational systems by 71-80%.