APA (7th ed.) Citation

Gao, H., Qiu, B., Barroso, R. J. D., Hussain, W., Xu, Y., & Wang, X. (2023). TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder. IEEE transactions on network science and engineering, 10(5), 2978-2990. https://doi.org/10.1109/TNSE.2022.3163144

Chicago Style (17th ed.) Citation

Gao, Honghao, Binyang Qiu, Ramon J. Duran Barroso, Walayat Hussain, Yueshen Xu, and Xinheng Wang. "TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder." IEEE Transactions on Network Science and Engineering 10, no. 5 (2023): 2978-2990. https://doi.org/10.1109/TNSE.2022.3163144.

MLA (9th ed.) Citation

Gao, Honghao, et al. "TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder." IEEE Transactions on Network Science and Engineering, vol. 10, no. 5, 2023, pp. 2978-2990, https://doi.org/10.1109/TNSE.2022.3163144.