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LSTM-Based VAE-GAN for Time-Series Anomaly Detection
Time series anomaly detection is widely used to monitor the equipment sates through the data collected in the form of time series. At present, the deep learning method based on generative adversarial networks (GAN) has emerged for time series anomaly detection. However, this method needs to find the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374329/ https://www.ncbi.nlm.nih.gov/pubmed/32635374 http://dx.doi.org/10.3390/s20133738 |