APA (7th ed.) Citation

Liang, Z., Wang, J., Ren, S., Yu, Y., & Guan, Q. (2023). A novel framework for detecting non‐recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector. Transactions in GIS, 27(1), 239-259. https://doi.org/10.1111/tgis.13022

Chicago Style (17th ed.) Citation

Liang, Zhewei, Jingyi Wang, Shuliang Ren, Yin Yu, and Qingfeng Guan. "A Novel Framework for Detecting Non‐recurrent Road Traffic Anomalies by Combining a Temporal Graph Convolutional Network and Hierarchical Time Memory Detector." Transactions in GIS 27, no. 1 (2023): 239-259. https://doi.org/10.1111/tgis.13022.

MLA (9th ed.) Citation

Liang, Zhewei, et al. "A Novel Framework for Detecting Non‐recurrent Road Traffic Anomalies by Combining a Temporal Graph Convolutional Network and Hierarchical Time Memory Detector." Transactions in GIS, vol. 27, no. 1, 2023, pp. 239-259, https://doi.org/10.1111/tgis.13022.