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[n]	X. Yang et al., “Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning”, in Proc. IPAC'23, Venice, Italy, May 2023, pp. 4452-4455. doi:10.18429/JACoW-IPAC2023-THPL014

For LaTeX

%\cite{Yang:IPAC23-THPL014} \bibitem{Yang:IPAC23-THPL014} X. Yang \emph{et al.}, \textquotedblleft{Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning}\textquotedblright, in \emph{Proc. IPAC’23}, Venice, Italy, May 2023, pp. 4452--4455. \url{doi:10.18429/JACoW-IPAC2023-THPL014}

For BibTeX

@inproceedings{yang:ipac23-thpl014, author = {X. Yang and others}, title = {{Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning}}, booktitle = {Proc. IPAC'23}, pages = {4452--4455}, paper = {THPL014}, venue = {Venice, Italy}, series = {International Particle Accelerator Conference}, number = {14}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {9}, year = {2023}, issn = {2673-5490}, isbn = {978-3-95-450231-8}, doi = {10.18429/JACoW-IPAC2023-THPL014}, language = {english} }

References

• X. Yang et al., “Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL014, pp. 4452-4455.