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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Detalhes bibliográficos
Main Authors: Mohammad Yazdi Pusadan, Joko Lianto Buliali, Raden Venantius Hari Ginardi
Formato: Artigo
Idioma:Inglês
Publicado em: Universitas Ahmad Dahlan 2019-11-01
Colecção:IJAIN (International Journal of Advances in Intelligent Informatics)
Assuntos:
segment
log-likelihood ratio
grouping similarity
accuracy
anomaly detection
Acesso em linha:http://ijain.org/index.php/IJAIN/article/view/232
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