Identification of vessel anomaly behavior using support vector machines and Bayesian networks
In this work, a model based on Support Vector Machines (SVMs) classification to identify vessel anomaly behavior have been proposed and implemented, and the result is compared to Bayesian Networks (BNs). The works have been done using the real world Automated Identification System (AIS) ve...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38408/ http://irep.iium.edu.my/38408/ http://irep.iium.edu.my/38408/1/p.1080.ICCCE.2014.pdf http://irep.iium.edu.my/38408/4/Sessions.pdf http://irep.iium.edu.my/38408/7/38408_Identification%20of%20vessel%20anomaly%20behavior_Scopus.pdf |