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

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 Authors: Riza, Lala Septem; Putra, Zulfikar Ali Yunara; Zain, Muhammad Iqbal; Trihutama, Fajar Zuliansyah; Utama, Judhistira Aria; Abu Samah, Khyrina Airin Fariza; Herdiwijaya, Dhani; Nqz, Rinto Anugraha; Mumpuni, Emanuel Sungging; Priyatikanto, Rhorom
Format: Review; Early Access
Language:English
Published: SPRINGERNATURE 2024
Subjects:
Computer Science
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001205418300001

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https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001205418300001

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