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Author: L. S. Vidyaratne


References



Reference
C. Tennant et al., “Superconducting Radio-Frequency Cavity Fault Classification Using Machine Learning at Jefferson Laboratory”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 4535-4539.
D. L. Turner, R. Bachimanchi, A. Carpenter, J. Latshaw, C. Tennant, and L. S. Vidyaratne, “SRF Cavity Instability Detection with Machine Learning at CEBAF”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 669-671.
K. Ahammed, A. Carpenter, J. Li, R. Suleiman, C. Tennant, and L. S. Vidyaratne, “Field Emission Mitigation in CEBAF SRF Cavities Using Deep Learning”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 676-678.
M. Rahman, A. Carpenter, K. M. Iftekharuddin, T. S. McGuckin, C. Tennant, and L. S. Vidyaratne, “Real-Time Cavity Fault Prediction in CEBAF Using Deep Learning”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 687-690.
M. I. Radaideh et al., “Progress on Machine Learning for the SNS High Voltage Converter Modulators”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 715-718.


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