Tsmae: a novel anomaly detection approach for internet of things time series data using memory-augmented autoencoder

H Gao, B Qiu, RJD Barroso, W Hussain… - … on network science …, 2022 - ieeexplore.ieee.org
With the development of communication, the Internet of Things (IoT) has been widely
deployed and used in industrial manufacturing, intelligent transportation, and healthcare …
被引用次数：153 相关文章

[引用][C] TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder

H Gao, B Qiu, RJD Barroso, W Hussain, Y Xu… - IEEE Transactions on …, 2023 - cir.nii.ac.jp
TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using
Memory-Augmented Autoencoder | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder

H Gao, B Qiu, RJ Duran Barroso… - … on Network Science …, 2022 - opus.lib.uts.edu.au
With the development of the Internet of Things, it has been widely studied and deployed in
industrial manufacturing, intelligent transportation, and healthcare systems. The time-series …

TSMAE: A novel anomaly detection approach for Internet of Things time series data using memory-augmented autoencoder

H Gao, B Qiu, RJD Barroso… - IEEE Transactions …, 2022 - acuresearchbank.acu.edu.au
With the development of the Internet of Things, it has been widely studied and deployed in
industrial manufacturing, intelligent transportation, and healthcare systems. The time-series …

[引用][C] TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder

H Gao, B Qiu, RJ Duran Barroso, W Hussain… - IEEE Transactions on …, 2022 - vuir.vu.edu.au