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[n]	M. Szczepanik, M. Piekarski, and M. Fa, “AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished. 

[n]	M. Gonzalez Berges, J. Martinez Samblas, and J. Storey, “Using machine learning techniques for BGI-based profile measurements at the CERN PS”, in Proc. IPAC'25, Taipei, Taiwan, Jun. 2025, pp. 2707-2710. doi:10.18429/JACoW-IPAC2025-THPM010

For LaTeX

%\cite{Szczepanik:ICALEPCS25-WEPD089} \bibitem{Szczepanik:ICALEPCS25-WEPD089} M. Szczepanik, M. Piekarski, and M. Fa, \textquotedblleft{AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron}\textquotedblright, presented at the ICALEPCS’25, Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished. %\cite{Gonzalez Berges:IPAC25-THPM010} \bibitem{Gonzalez Berges:IPAC25-THPM010} M. Gonzalez Berges, J. Martinez Samblas, and J. Storey, \textquotedblleft{Using machine learning techniques for BGI-based profile measurements at the CERN PS}\textquotedblright, in \emph{Proc. IPAC’25}, Taipei, Taiwan, Jun. 2025, pp. 2707--2710. \doi{10.18429/JACoW-IPAC2025-THPM010}

For BibTeX

@unpublished{szczepanik:icalepcs25-wepd089, author = {M. Szczepanik and M. Piekarski and M. Fa}, title = {{AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron}}, booktitle = {Proc. ICALEPCS'25}, pages = {}, paper = {WEPD089}, 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{2226-0358}, isbn = {978-3-95-450255-4}, note = {presented at ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished}, language = {english} } @inproceedings{gonzalez berges:ipac25-thpm010, author = {M. Gonzalez Berges and J. Martinez Samblas and J. Storey}, title = {{Using machine learning techniques for BGI-based profile measurements at the CERN PS}}, booktitle = {Proc. IPAC'25}, pages = {2707--2710}, paper = {THPM010}, venue = {Taipei, Taiwan}, series = {International Particle Accelerator Conference}, number = {16}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2025}, issn = {2673-5490}, isbn = {978-3-95-450248-6}, doi = {10.18429/JACoW-IPAC2025-THPM010}, language = {english} }

References

• M. Szczepanik, M. Piekarski, and M. Fa, “AI and ML integration for beamline optimization and virtual assistance at the SOLARIS synchrotron”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD089, unpublished.
• M. Gonzalez Berges, J. Martinez Samblas, and J. Storey, “Using machine learning techniques for BGI-based profile measurements at the CERN PS”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM010, pp. 2707-2710.