Integrated Bigdata Analysis Model for Industrial Anomaly Detection via Temporal Convolutional Network and Attention Mechanism
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25158-0_12
Reference26 articles.
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3. Siegel, B.: Industrial anomaly detection: a comparison of unsupervised neural network architectures. IEEE Sens. Lett. 4, 1–4 (2020)
4. De Gooijer, J. G., Hyndman, R.J.: 25 Years of IIF time series forecasting: a selective review. Tinbergen Institute Discussion Papers (2005)
5. LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT (2020)
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