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Abstract: Traffic analysis plays an essential role in network management and security protection under the premise of fully protecting user privacy. Unfortunately, encryption dramatically reduces the ...

Abstract: Traffic flow prediction is a challenging task due to complex spatial-temporal correlations. Most existing methods leverage graph convolutional network (GCN) to capture spatial correlations.

When using the “Actual Volumetric Flow Rate (mm³/s)” or similar visualization modes, the color legend is offset far from the model, making it very difficult to visually match the on-model colors to ...