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[n]	R. L. Cassel, G. C. Pappas, M. N. Nguyen, and J. E. DeLamare, “A Solid State Induction Modulator for SLAC NLC”, in Proc. PAC'99, New York, NY, USA, Mar. 1999, paper TUP9, pp. 1494-1496. 

[n]	C. C. Peters et al., “Machine Learning for Time Series Prediction of an Accelerator Beam to Recognize Equipment Malfunction”, in Proc. IPAC'21, Campinas, Brazil, May 2021, pp. 2272-2275. doi:10.18429/JACoW-IPAC2021-TUPAB328

For LaTeX

%\cite{Cassel:PAC99-TUP9} \bibitem{Cassel:PAC99-TUP9} R. L. Cassel, G. C. Pappas, M. N. Nguyen, and J. E. DeLamare, \textquotedblleft{A Solid State Induction Modulator for SLAC NLC}\textquotedblright, in \emph{Proc. PAC’99}, New York, NY, USA, Mar. 1999, paper TUP9, pp. 1494--1496. %\cite{Peters:IPAC21-TUPAB328} \bibitem{Peters:IPAC21-TUPAB328} C. C. Peters \emph{et al.}, \textquotedblleft{Machine Learning for Time Series Prediction of an Accelerator Beam to Recognize Equipment Malfunction}\textquotedblright, in \emph{Proc. IPAC’21}, Campinas, Brazil, May 2021, pp. 2272--2275. \doi{10.18429/JACoW-IPAC2021-TUPAB328}

For BibTeX

@inproceedings{cassel:pac99-tup9, author = {R. L. Cassel and G. C. Pappas and M. N. Nguyen and J. E. DeLamare}, title = {{A Solid State Induction Modulator for SLAC NLC}}, booktitle = {Proc. PAC'99}, pages = {1494--1496}, paper = {TUP9}, venue = {New York, NY, USA, Mar. 1999}, publisher = {JACoW Publishing, Geneva, Switzerland}, url = {https://jacow.org/p99/papers/TUP9.pdf}, language = {english} } @inproceedings{peters:ipac21-tupab328, author = {C. C. Peters and others}, title = {{Machine Learning for Time Series Prediction of an Accelerator Beam to Recognize Equipment Malfunction}}, booktitle = {Proc. IPAC'21}, pages = {2272--2275}, paper = {TUPAB328}, venue = {Campinas, Brazil, May 2021}, publisher = {JACoW Publishing, Geneva, Switzerland}, doi = {10.18429/JACoW-IPAC2021-TUPAB328}, url = {https://jacow.org/ipac2021/papers/TUPAB328.pdf}, language = {english} }

References

• R. L. Cassel, G. C. Pappas, M. N. Nguyen, and J. E. DeLamare, “A Solid State Induction Modulator for SLAC NLC”, in Proc. 18th Particle Accelerator Conf. (PAC'99), New York, NY, USA, Mar. 1999, paper TUP9, pp. 1494-1496.
• C. C. Peters et al., “Machine Learning for Time Series Prediction of an Accelerator Beam to Recognize Equipment Malfunction”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2272-2275.