Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kozu, Tomotake"'
Publikováno v:
In Journal of Biomedical Informatics October 2024 158
Anomaly detection is necessary for proper and safe operation of large-scale systems consisting of multiple devices, networks, and/or plants. Those systems are often characterized by a pair of multivariate datasets. To detect anomaly in such a system
Externí odkaz:
http://arxiv.org/abs/2012.08100
Publikováno v:
In Journal of Biomedical Informatics October 2022 134
Autor:
Aprile, Elena, Egorov, Valeri, Giboni, Karl-Ludwig, Kahn, Steven M., Kozu, Tomotake, Oberlack, Uwe G., Centro, S., Ventura, Sandro, Doke, Tadayoshi, Kikuchi, Jun, Chupp, Edward L., Dunphy, Philip P., Hartmann, Dieter H., Leising, Mark D., Bloemen, H.
Publikováno v:
Proceedings of SPIE; Nov1998, Issue 1, p88-99, 12p
Autor:
Sugiura A; Deloitte Analytics, Deloitte Tohmatsu Risk Advisory LLC, Tokyo, Japan., Saegusa S; Deloitte Analytics, Deloitte Tohmatsu Risk Advisory LLC, Tokyo, Japan., Jin Y; Deloitte Analytics, Deloitte Tohmatsu Risk Advisory LLC, Tokyo, Japan., Yoshimoto R; Evidence Generation ＆ Communication Division, EMC K.K., Tokyo, Japan., Smith ND; Evidence Generation ＆ Communication Division, EMC K.K., Tokyo, Japan., Dohi K; Evidence Generation ＆ Communication Division, EMC K.K., Tokyo, Japan., Higuchi T; Evidence Generation ＆ Communication Division, EMC K.K., Tokyo, Japan., Kozu T; Deloitte Analytics, Deloitte Tohmatsu Risk Advisory LLC, Tokyo, Japan.
Publikováno v:
JMIR formative research [JMIR Form Res] 2024 Dec 09; Vol. 8, pp. e55827. Date of Electronic Publication: 2024 Dec 09.