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[n]	M. I. Radaideh et al., “Progress on Machine Learning for the SNS High Voltage Converter Modulators”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 715-718. doi:10.18429/JACoW-NAPAC2022-WEPA38

[n]	N. Kuklev, J. Eldred, and M. Balcewicz, “Fermilab Booster beam loss modelling and rebalancing using Bayesian methods”, in Proc. NAPAC'25, Sacramento, California, USA, Aug. 2025, pp. 906-910. doi:10.18429/JACoW-NAPAC2025-THAN02

For LaTeX

%\cite{Radaideh:NAPAC22-WEPA38} \bibitem{Radaideh:NAPAC22-WEPA38} M. I. Radaideh \emph{et al.}, \textquotedblleft{Progress on Machine Learning for the SNS High Voltage Converter Modulators}\textquotedblright, in \emph{Proc. NAPAC’22}, Albuquerque, NM, USA, Aug. 2022, pp. 715--718. \doi{10.18429/JACoW-NAPAC2022-WEPA38} %\cite{Kuklev:NAPAC25-THAN02} \bibitem{Kuklev:NAPAC25-THAN02} N. Kuklev, J. Eldred, and M. Balcewicz, \textquotedblleft{Fermilab Booster beam loss modelling and rebalancing using Bayesian methods}\textquotedblright, in \emph{Proc. NAPAC’25}, Sacramento, California, USA, Aug. 2025, pp. 906--910. \doi{10.18429/JACoW-NAPAC2025-THAN02}

For BibTeX

@inproceedings{radaideh:napac22-wepa38, author = {M. I. Radaideh and others}, title = {{Progress on Machine Learning for the SNS High Voltage Converter Modulators}}, booktitle = {Proc. NAPAC'22}, pages = {715--718}, paper = {WEPA38}, 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-WEPA38}, url = {https://jacow.org/napac2022/papers/WEPA38.pdf}, language = {english} } @inproceedings{kuklev:napac25-than02, author = {N. Kuklev and J. Eldred and M. Balcewicz}, title = {{Fermilab Booster beam loss modelling and rebalancing using Bayesian methods}}, booktitle = {Proc. NAPAC'25}, pages = {906--910}, paper = {THAN02}, venue = {Sacramento, California, USA}, series = {North American Particle Accelerator Conference}, number = {6}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {1}, year = {2026}, issn = {2673-7000}, isbn = {978-3-95-450261-5}, doi = {10.18429/JACoW-NAPAC2025-THAN02}, language = {english} }

References

• 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.
• N. Kuklev, J. Eldred, and M. Balcewicz, “Fermilab Booster beam loss modelling and rebalancing using Bayesian methods”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 906-910.