Multivariate Time-series Anomaly Detection using SeqVAE-CNN Hybrid Model

Author:

Choi Taesung,Lee Dongkun,Jung Yuchae,Choi Ho-Jin

Funder

Korean National Police Agency

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A derivative, integral, and proportional features extractor for fault detection in dynamic processes;Engineering Applications of Artificial Intelligence;2024-02

2. CL-TAD: A Contrastive-Learning-Based Method for Time Series Anomaly Detection;Applied Sciences;2023-10-31

3. DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Anomaly Detection in Time Series: Current Focus and Future Challenges;Artificial Intelligence;2023-07-12

5. Fault detection method based on adversarial reinforcement learning;Frontiers in Computer Science;2023-01-25

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