Anomaly detection on flight route using similarity and grouping approach based-on automatic dependent surveillance-broadcast

Flight anomaly detection is used to determine the abnormal state data on the flight route. This study focused on two groups: general aviation habits (C1)and anomalies (C2). Groups C1 and C2 are obtained through similarity test with references. The methods used are: 1) normalizing the training data f...

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主要な著者: Pusadan, Mohammad Yazdi (著者), Buliali, Joko Lianto (著者), Ginardi, Raden Venantius Hari (著者)
フォーマット: EJournal Article
出版事項: Universitas Ahmad Dahlan, 2019-11-30.
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