Anomaly detection of ship behavior based on deep neural networks

•A HybridAttn-BiRNN model with temporal and feature attention is proposed for ship trajectory prediction.•An anomaly detection framework integrating HDBSCAN clustering and the HybridAttn-BiRNN model is established.•Multiple anomaly types are detected using threshold discrimination and feature deviat...

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Bibliographic Details

Published in:	Reliability engineering & system safety Vol. 266; p. 111801
Main Authors:	Shu, Yaqing, Dong, Ao, Liu, Chengyong, Gan, Langxiong, Song, Lan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	AIS data Anomaly detection Deep neural networks HDBSCAN Ship behavior HDBSCAN AIS data Deep neural networks Anomaly detection Ship behavior
ISSN:	0951-8320
Online Access:	Get full text
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