AINeutralarXiv – CS AI · 18h ago6/10
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DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems
Researchers introduce DSFNet, a neural network architecture that improves multi-modality spatio-temporal forecasting for urban traffic systems by using dual-domain spectral filtering to model relationships between different traffic variables. The method achieves 3-10% improvements in prediction accuracy over existing approaches while maintaining computational efficiency.