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[n]	J. Swierblewski, “Large Scale Testing of SRF Cavities and Modules”, in Proc. LINAC'14, Geneva, Switzerland, Aug.-Sep. 2014, paper TUIOC01, pp. 426-430. 

[n]	K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 983-986. doi:10.18429/JACoW-IPAC2022-TUPOST053

For LaTeX

%\cite{Swierblewski:LINAC14-TUIOC01} \bibitem{Swierblewski:LINAC14-TUIOC01} J. Swierblewski, \textquotedblleft{Large Scale Testing of SRF Cavities and Modules}\textquotedblright, in \emph{Proc. LINAC’14}, Geneva, Switzerland, Aug.-Sep. 2014, paper TUIOC01, pp. 426--430. %\cite{Hwang:IPAC22-TUPOST053} \bibitem{Hwang:IPAC22-TUPOST053} K. Hwang \emph{et al.}, \textquotedblleft{Beam Tuning at the FRIB Front End Using Machine Learning}\textquotedblright, in \emph{Proc. IPAC’22}, Bangkok, Thailand, Jun. 2022, pp. 983--986. \doi{10.18429/JACoW-IPAC2022-TUPOST053}

For BibTeX

@inproceedings{swierblewski:linac14-tuioc01, author = {J. Swierblewski}, title = {{Large Scale Testing of SRF Cavities and Modules}}, booktitle = {Proc. LINAC'14}, pages = {426--430}, paper = {TUIOC01}, venue = {Geneva, Switzerland}, series = {Linear Accelerator Conference}, number = {27}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2014}, isbn = {978-3-95-450142-7}, url = {https://jacow.org/LINAC2014/papers/TUIOC01.pdf}, language = {english} } @inproceedings{hwang:ipac22-tupost053, author = {K. Hwang and others}, title = {{Beam Tuning at the FRIB Front End Using Machine Learning}}, booktitle = {Proc. IPAC'22}, pages = {983--986}, paper = {TUPOST053}, venue = {Bangkok, Thailand}, series = {International Particle Accelerator Conference}, number = {13}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2022}, issn = {2673-5490}, isbn = {978-3-95-450227-1}, doi = {10.18429/JACoW-IPAC2022-TUPOST053}, url = {https://jacow.org/IPAC2022/papers/TUPOST053.pdf}, language = {english} }

References

• J. Swierblewski, “Large Scale Testing of SRF Cavities and Modules”, in Proc. 27th Linear Accelerator Conf. (LINAC'14), Geneva, Switzerland, Aug.-Sep. 2014, paper TUIOC01, pp. 426-430.
• K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 983-986.