Cite
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
MLA
Zeng, Wei, et al. “Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction.” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, Jan. 2023, pp. 2796–808. EBSCOhost, https://doi.org/10.1109/TKDE.2021.3112977.
APA
Zeng, W., Lin, C., Liu, K., Lin, J., & Tung, A. K. H. (2023). Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction. IEEE Transactions on Knowledge and Data Engineering, 35(3), 2796–2808. https://doi.org/10.1109/TKDE.2021.3112977
Chicago
Zeng, Wei, Chengqiao Lin, Kang Liu, Juncong Lin, and Anthony K. H. Tung. 2023. “Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction.” IEEE Transactions on Knowledge and Data Engineering 35 (3): 2796–2808. doi:10.1109/TKDE.2021.3112977.