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[n]	A. A. Saoulis, K. R. L. Baker, R. A. Burridge, S. Lilley, and M. Romanovschi, “Machine Learning for Anomaly Detection in Continuous Signals”, in Proc. ICALEPCS'21, Shanghai, China, Oct. 2021, pp. 1032-1038. doi:10.18429/JACoW-ICALEPCS2021-FRBL01

[n]	D. Fischer, M. Denney, A. V. Mishin, S. Proskin, J. Roylance, and L. Young, “Maximizing Output of 3 MeV S-band Industrial Accelerator”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 723-724. doi:10.18429/JACoW-NAPAC2022-WEPA41

For LaTeX

%\cite{Saoulis:ICALEPCS21-FRBL01} \bibitem{Saoulis:ICALEPCS21-FRBL01} A. A. Saoulis, K. R. L. Baker, R. A. Burridge, S. Lilley, and M. Romanovschi, \textquotedblleft{Machine Learning for Anomaly Detection in Continuous Signals}\textquotedblright, in \emph{Proc. ICALEPCS’21}, Shanghai, China, Oct. 2021, pp. 1032--1038. \doi{10.18429/JACoW-ICALEPCS2021-FRBL01} %\cite{Fischer:NAPAC22-WEPA41} \bibitem{Fischer:NAPAC22-WEPA41} D. Fischer, M. Denney, A. V. Mishin, S. Proskin, J. Roylance, and L. Young, \textquotedblleft{Maximizing Output of 3 MeV S-band Industrial Accelerator}\textquotedblright, in \emph{Proc. NAPAC’22}, Albuquerque, NM, USA, Aug. 2022, pp. 723--724. \doi{10.18429/JACoW-NAPAC2022-WEPA41}

For BibTeX

@inproceedings{saoulis:icalepcs21-frbl01, author = {A. A. Saoulis and K. R. L. Baker and R. A. Burridge and S. Lilley and M. Romanovschi}, title = {{Machine Learning for Anomaly Detection in Continuous Signals}}, booktitle = {Proc. ICALEPCS'21}, pages = {1032--1038}, paper = {FRBL01}, venue = {Shanghai, China}, series = {International Conference on Accelerator and Large Experimental Physics Control Systems}, number = {18}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {2}, year = {2022}, issn = {2226-0358}, isbn = {978-3-95-450221-9}, doi = {10.18429/JACoW-ICALEPCS2021-FRBL01}, url = {https://jacow.org/icalepcs2021/papers/FRBL01.pdf}, language = {english} } @inproceedings{fischer:napac22-wepa41, author = {D. Fischer and M. Denney and A. V. Mishin and S. Proskin and J. Roylance and L. Young}, title = {{Maximizing Output of 3 MeV S-band Industrial Accelerator}}, booktitle = {Proc. NAPAC'22}, pages = {723--724}, paper = {WEPA41}, venue = {Albuquerque, NM, USA}, series = {North American Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2022}, issn = {2673-7000}, isbn = {978-3-95-450232-5}, doi = {10.18429/JACoW-NAPAC2022-WEPA41}, url = {https://jacow.org/napac2022/papers/WEPA41.pdf}, language = {english} }

References

• A. A. Saoulis, K. R. L. Baker, R. A. Burridge, S. Lilley, and M. Romanovschi, “Machine Learning for Anomaly Detection in Continuous Signals”, in Proc. 18th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'21), Shanghai, China, Oct. 2021, pp. 1032-1038.
• D. Fischer, M. Denney, A. V. Mishin, S. Proskin, J. Roylance, and L. Young, “Maximizing Output of 3 MeV S-band Industrial Accelerator”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 723-724.