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[n]	M. Pezzetti, A. Amodio, P. Arpaia, Y. Donon, F. Gargiulo, and L. Iodice, “Innovative Methodology Dedicated to the CERN LHC Cryogenic Valves Based on Modern Algorithm for Fault Detection and Predictive Diagnostics”, in Proc. ICALEPCS'21, Shanghai, China, Oct. 2021, pp. 959-964. doi:10.18429/JACoW-ICALEPCS2021-THPV041

[n]	G. Azzopardi and G. Ricci, “New Machine Learning Model Application for the Automatic LHC Collimator Beam-Based Alignment”, in Proc. ICALEPCS'21, Shanghai, China, Oct. 2021, pp. 953-958. doi:10.18429/JACoW-ICALEPCS2021-THPV040

For LaTeX

%\cite{Pezzetti:ICALEPCS21-THPV041} \bibitem{Pezzetti:ICALEPCS21-THPV041} M. Pezzetti, A. Amodio, P. Arpaia, Y. Donon, F. Gargiulo, and L. Iodice, \textquotedblleft{Innovative Methodology Dedicated to the CERN LHC Cryogenic Valves Based on Modern Algorithm for Fault Detection and Predictive Diagnostics}\textquotedblright, in \emph{Proc. ICALEPCS’21}, Shanghai, China, Oct. 2021, pp. 959--964. \doi{10.18429/JACoW-ICALEPCS2021-THPV041} %\cite{Azzopardi:ICALEPCS21-THPV040} \bibitem{Azzopardi:ICALEPCS21-THPV040} G. Azzopardi and G. Ricci, \textquotedblleft{New Machine Learning Model Application for the Automatic LHC Collimator Beam-Based Alignment}\textquotedblright, in \emph{Proc. ICALEPCS’21}, Shanghai, China, Oct. 2021, pp. 953--958. \doi{10.18429/JACoW-ICALEPCS2021-THPV040}

For BibTeX

@inproceedings{pezzetti:icalepcs21-thpv041, author = {M. Pezzetti and A. Amodio and P. Arpaia and Y. Donon and F. Gargiulo and L. Iodice}, title = {{Innovative Methodology Dedicated to the CERN LHC Cryogenic Valves Based on Modern Algorithm for Fault Detection and Predictive Diagnostics}}, booktitle = {Proc. ICALEPCS'21}, pages = {959--964}, paper = {THPV041}, venue = {Shanghai, China}, series = {International Conference on Accelerator and Large Experimental Physics Control Systems}, number = {18}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {2}, year = {2022}, issn = {2226-0358}, isbn = {978-3-95-450221-9}, doi = {10.18429/JACoW-ICALEPCS2021-THPV041}, url = {https://jacow.org/icalepcs2021/papers/THPV041.pdf}, language = {english} } @inproceedings{azzopardi:icalepcs21-thpv040, author = {G. Azzopardi and G. Ricci}, title = {{New Machine Learning Model Application for the Automatic LHC Collimator Beam-Based Alignment}}, booktitle = {Proc. ICALEPCS'21}, pages = {953--958}, paper = {THPV040}, venue = {Shanghai, China}, series = {International Conference on Accelerator and Large Experimental Physics Control Systems}, number = {18}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {2}, year = {2022}, issn = {2226-0358}, isbn = {978-3-95-450221-9}, doi = {10.18429/JACoW-ICALEPCS2021-THPV040}, url = {https://jacow.org/icalepcs2021/papers/THPV040.pdf}, language = {english} }

References

• M. Pezzetti, A. Amodio, P. Arpaia, Y. Donon, F. Gargiulo, and L. Iodice, “Innovative Methodology Dedicated to the CERN LHC Cryogenic Valves Based on Modern Algorithm for Fault Detection and Predictive Diagnostics”, in Proc. 18th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'21), Shanghai, China, Oct. 2021, pp. 959-964.
• G. Azzopardi and G. Ricci, “New Machine Learning Model Application for the Automatic LHC Collimator Beam-Based Alignment”, in Proc. 18th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'21), Shanghai, China, Oct. 2021, pp. 953-958.