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Hydra: Computer Vision for Data Quality Monitoring
Hydra is a system which utilizes computer vision to perform near real time data quality management, initially developed for Hall-D in 2019.
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator
In order to improve the day-to-dayoperations and maximize the delivery of the science, new analytical techniques are being exploredfor anomaly detection, classification, and prognostications.
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