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Towards Unlocking Insights from Logbooks Using AI / Sulc, Antonin (Helmholtz-Zentrum, Berlin) ; Bien, Alex (SLAC) ; Eichler, Annika (DESY) ; Ratner, Daniel (SLAC) ; Rehm, Florian (CERN) ; Mayet, Frank (DESY) ; Hartmann, Gregor (Helmholtz-Zentrum, Berlin) ; Hoschouer, Hayden (Fermilab) ; Tuennermann, Henrik (DESY) ; Kaiser, Jan (DESY) et al.
Electronic logbooks contain valuable information about activities and events concerning their associated particle accelerator facilities. However, the highly technical nature of logbook entries can hinder their usability and automation. [...]
arXiv:2406.12881; FERMILAB-CONF-24-0237-AD.- 2024-07-01 - 4 p.
- Published in : JACoW IPAC: 2024 (2024) , pp. THPR37 Fulltext: document - PDF; 38a3e6e6a9c02253a980ea0a8bf8e53d - PDF; 2406.12881 - PDF; External link: Fermilab Library Server
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.THPR37

Виж също: автори с подобни имена
213 Bien, A
51 Bien, A.
2 Bien, Adam
132 Bien, Alexander
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