|
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. |