An efficient Meta-VSW method for ship behaviors recognition and application

Ship behaviors refer to the operational process such as sailing, entering into port/departure, etc., which indicate by their position, speed, and so on. The collected big data normally have been treated by unsupervised Machine Learning methods. However, the process is time consuming and lacks consid...

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Vydáno v:	Ocean engineering Ročník 311; s. 118870
Hlavní autoři:	Cai, Zhiyuan, Fan, Qidong, Li, Lecheng, Yu, Long, Li, Congbo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.11.2024
Témata:	Fuel consumption Massive unknown data Meta-trajectory Operational efficiency Ship behavior recognition Unsupervised algorithm Fuel consumption Operational efficiency Meta-trajectory Unsupervised algorithm Massive unknown data Ship behavior recognition
ISSN:	0029-8018
On-line přístup:	Získat plný text
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