A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems

MLA

He, Zilong, et al. “A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems.” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 4, Jan. 2023, pp. 1705–19. EBSCOhost, https://doi.org/10.1109/TNNLS.2020.3027736.

APA

He, Z., Chen, P., Li, X., Wang, Y., Yu, G., Chen, C., Li, X., & Zheng, Z. (2023). A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems. IEEE Transactions on Neural Networks and Learning Systems, 34(4), 1705–1719. https://doi.org/10.1109/TNNLS.2020.3027736

Chicago

He, Zilong, Pengfei Chen, Xiaoyun Li, Yongfeng Wang, Guangba Yu, Cailin Chen, Xinrui Li, and Zibin Zheng. 2023. “A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems.” IEEE Transactions on Neural Networks and Learning Systems 34 (4): 1705–19. doi:10.1109/TNNLS.2020.3027736.