Anomaly Detection in Accelerator Facilities Using Machine Learning

Das, Anwesha; Borland, Michael; Emery, Louis; Huang, Xiaobiao; Ratner, Daniel; Shang, Hairong; Shen, Guobao; Smith, Reid; Wang, Guimei

doi:10.18429/JACoW-IPAC2021-MOPAB077

Joint Accelerator Conferences Website

The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.

LaTeX citation export for MOPAB077: Anomaly Detection in Accelerator Facilities Using Machine Learning

%\cite{das:ipac2021-mopab077}
\bibitem{das:ipac2021-mopab077}
   A. Das, M. Borland, L. Emery, X. Huang, D.F. Ratner, H. Shang, \emph{et al.},
%   A. Das, M. Borland, L. Emery, X. Huang, D.F. Ratner, H. Shang, G. Shen, R.M. Smith, and G.M. Wang,
%   A. Das \emph{et al.},
   \textquotedblleft{Anomaly Detection in Accelerator Facilities Using Machine Learning}\textquotedblright,
% --- abbreviated form (published paper) - JACoW template Feb 2018 ---
   in \emph{Proc. IPAC'21}, Campinas, SP, Brazil, May 2021, pp. 304--307.
   \url{doi:10.18429/JACoW-IPAC2021-MOPAB077}
% --- additional material -ISSN/ISBN--
%  ISBN: 978-3-95450-214-1, ISSN: 2673-5490