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AI Enabled Data Quality Monitoring with Hydra
2021
EPJ Web of Conferences
Data quality monitoring is critical to all experiments impacting the quality of any physics results. Traditionally, this is done through an alarm system, which detects low level faults, leaving higher level monitoring to human crews. Artificial Intelligence is beginning to find its way into scientific applications, but comes with difficulties, relying on the acquisition of new skill sets, either through education or acquisition, in data science. This paper will discuss the development and
doi:10.1051/epjconf/202125104010
fatcat:2djrne2ulbckvdxnv2dnxsnb4y