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H. Shang and M. Borland, “A Parallel Simplex Optimizer and Its Application to High-Brightness Storage Ring Design”, in Proc. 21st Particle Accelerator Conf. (PAC'05), Knoxville, TN, USA, May 2005, paper FPAT089, pp. 4230-4232. |
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H. Shang and M. Borland, “ExperimentDesigner: A Tcl/Tk Interface for Creating Experiments in EPICS”, in Proc. 21st Particle Accelerator Conf. (PAC'05), Knoxville, TN, USA, May 2005, paper FPAT090, pp. 4245-4247. |
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H. Shang, M. Borland, L. Emery, and R. Soliday, “New Features in the SDDS-Compliant EPICS Toolkit”, in Proc. 20th Particle Accelerator Conf. (PAC'03), Portland, OR, USA, May 2003, paper FPAG004, pp. 3470-3472. |
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H. Shang, M. Borland, L. Emery, R. Soliday, and Y. Wang, “Parallel SDDS: A Scientific High-Performance I/O Interface”, in Proc. 10th Int. Computational Accelerator Physics Conf. (ICAP'09), San Francisco, CA, USA, Aug.-Sep. 2009, paper THPSC050, pp. 347-350. |
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H. Shang, M. Borland, X. Huang, M. Song, Y. Sun, and Z. Zhang, “Experience with On-line Optimizers for APS Linac Front End Optimization”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2151-2154. |
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H. Wiedemann et al., “The 3 GeV Synchrotron Injector for SPEAR”, in Proc. 14th Particle Accelerator Conf. (PAC'91), San Francisco, CA, USA, May 1991, pp. 2688-2691. |
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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. |
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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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I. Lobach, J. Edelen, K. Wolfinger, and M. Borland, “LSTMs for anomaly detection in the magnet power supply temperatures of APS-U”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS51, this conference. |
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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. |
