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Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation.

, , , , , , and . ACM Trans. Knowl. Discov. Data, 17 (5): 64:1-64:28 (June 2023)

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Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation., , , , , , and . ACM Trans. Knowl. Discov. Data, 17 (5): 64:1-64:28 (June 2023)Taxi travel time prediction based on fusion of traffic condition features., , , , , , and . Comput. Electr. Eng., (January 2023)Prediction of Cancellation Probability of Online Car-Hailing Orders Based on Multi-source Heterogeneous Data Fusion., , , , , and . WASA (2), volume 13472 of Lecture Notes in Computer Science, page 168-180. Springer, (2022)Late Breaking Results: An Effective Legalization Algorithm for Heterogeneous FPGAs with Complex Constraints., , , , , and . DAC, page 1362-1363. IEEE, (2021)A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors., , , , and . IEEE Intell. Transp. Syst. Mag., 15 (1): 136-159 (2023)A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic., , , , and . Adv. Eng. Informatics, (2022)Prediction of Crowd Flow in Key Areas Based on a Spatial-temporal Convolutional Model., , and . ITSC, page 1161-1166. IEEE, (2022)Decoupled Feature Pyramid Learning for Multi-Scale Object Detection in Low-Altitude Remote Sensing Images., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)