Asres, M.W.; Omlin, C.W.; Wang, L.; Yu, D.; Parygin, P.; Dittmann, J.; Karapostoli, G.; Seidel, M.; Venditti, R.; Lambrecht, L.;
et al. Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. Sensors 2023, 23, 9679.
https://doi.org/10.3390/s23249679
AMA Style
Asres MW, Omlin CW, Wang L, Yu D, Parygin P, Dittmann J, Karapostoli G, Seidel M, Venditti R, Lambrecht L,
et al. Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. Sensors. 2023; 23(24):9679.
https://doi.org/10.3390/s23249679
Chicago/Turabian Style
Asres, Mulugeta Weldezgina, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, Georgia Karapostoli, Markus Seidel, Rosamaria Venditti, Luka Lambrecht,
and et al. 2023. "Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter" Sensors 23, no. 24: 9679.
https://doi.org/10.3390/s23249679
APA Style
Asres, M. W., Omlin, C. W., Wang, L., Yu, D., Parygin, P., Dittmann, J., Karapostoli, G., Seidel, M., Venditti, R., Lambrecht, L., Usai, E., Ahmad, M., Menendez, J. F., Maeshima, K., & the CMS-HCAL Collaboration.
(2023). Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. Sensors, 23(24), 9679.
https://doi.org/10.3390/s23249679