Rong-Liang Lin

Lightweight Physics-Informed KAN: An Efficient Edge Intelligence Framework for Spatio-Temporal Traffic Forecasting

Traffic forecasting on IoT edges faces strict computational limits and unreliable sensor data. We propose a Lightweight Physics-Informed Kolmogorov-Arnold Network (PI-KAN) for efficient spatio-temporal forecasting. PI-KAN embeds the kinematic wave partial differential equation (PDE) into a graph-based KAN, utilizing B-...