Real-time anomaly detection in sky quality meter data using probabilistic exponential weighted moving average

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Real-time anomaly detection in sky quality meter data using probabilistic exponential weighted moving average

Light pollution is a problem that impacts many elements of human life and the environment, including astronomical observations. The authors of this work offer a unique method for detecting anomalies in night sky brightness data recorded using a Sky Quality Meter (SQM). This equipment has been widely...

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Bibliographic Details
Published in:	International Journal of Data Science and Analytics
Main Author:	Riza L.S.; Putra Z.A.Y.; Zain M.I.; Trihutama F.Z.; Utama J.A.; Samah K.A.F.A.; Herdiwijaya D.; NQZ R.A.; Mumpuni E.S.; Priyatikanto R.
Format:	Review
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190776317&doi=10.1007%2fs41060-024-00535-8&partnerID=40&md5=3d80c31ff848bb7746acfe496b279824

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