Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting

Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting explores NeST-S6 is a novel convolutional selective state-space model for efficient mobile traffic grid forecasting that significantly reduces prediction errors and computational overhead.. Commercial viability score: 6/10 in Traffic Forecasting.