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Author: A. Sannibale


References



Reference
I. Lobach et al., “Machine Learning for Predicting Power Supply Trips in Storage Rings”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 413-416.
I. Lobach, M. Borland, K. C. Harkay, N. Kuklev, A. Sannibale, and Y. Sun, “Machine Learning for Anomaly Detection and Classification in Particle Accelerators”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 311-314.
I. Lobach, A. Sannibale, J. Edelen, and M. Borland, “Long short-term memory networks for anomaly detection in storage ring power supplies”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL005, pp. 4424-4427.


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