Yan, J., & Tao, T. (2022). Unsupervised anomaly detection in hourly water demand data using an asymmetric encoder–decoder model. Journal of hydrology (Amsterdam), 613, 128389. https://doi.org/10.1016/j.jhydrol.2022.128389
Chicago Style (17th ed.) CitationYan, Jieru, and Tao Tao. "Unsupervised Anomaly Detection in Hourly Water Demand Data Using an Asymmetric Encoder–decoder Model." Journal of Hydrology (Amsterdam) 613 (2022): 128389. https://doi.org/10.1016/j.jhydrol.2022.128389.
MLA (9th ed.) CitationYan, Jieru, and Tao Tao. "Unsupervised Anomaly Detection in Hourly Water Demand Data Using an Asymmetric Encoder–decoder Model." Journal of Hydrology (Amsterdam), vol. 613, 2022, p. 128389, https://doi.org/10.1016/j.jhydrol.2022.128389.
Warning: These citations may not always be 100% accurate.