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[n]	L. Hajdu et al., “Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD070, unpublished. 

[n]	R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, “Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished. 

For LaTeX

%\cite{Hajdu:ICALEPCS25-WEPD070} \bibitem{Hajdu:ICALEPCS25-WEPD070} L. Hajdu \emph{et al.}, \textquotedblleft{Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line}\textquotedblright, presented at the ICALEPCS’25, Chicago, IL, USA, Sep. 2025, paper WEPD070, unpublished. %\cite{Roussel:ICALEPCS25-WEPD086} \bibitem{Roussel:ICALEPCS25-WEPD086} R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, \textquotedblleft{Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization}\textquotedblright, presented at the ICALEPCS’25, Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished.

For BibTeX

@unpublished{hajdu:icalepcs25-wepd070, author = {L. Hajdu and others}, title = {{Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line}}, booktitle = {Proc. ICALEPCS'25}, pages = {}, paper = {WEPD070}, venue = {Chicago, IL, USA}, intype = {presented at the}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, note = {presented at ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD070, unpublished}, language = {english} } @unpublished{roussel:icalepcs25-wepd086, author = {R. Roussel and D. Kennedy and A. Edelen and N. Kuklev and S. Miskovich and Z. Zhang}, title = {{Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization}}, booktitle = {Proc. ICALEPCS'25}, pages = {}, paper = {WEPD086}, venue = {Chicago, IL, USA}, intype = {presented at the}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, note = {presented at ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished}, language = {english} }

References

• L. Hajdu et al., “Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD070, unpublished.
• R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, “Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished.