Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic-Reference-Cited by-同舟云学术

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Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic

Published:2017-01-01 Issue:2 Volume:28 Page:359-374
ISSN:0868-4952
Container-title:Informatica
language:en
Short-container-title:

Author:

Venskus Julius,Treigys Povilas,Bernatavičienė Jolita,Medvedev Viktor,Voznak Miroslav,Kurmis Mindaugas,Bulbenkienė Violeta

Publisher

Vilnius University Press

Subject

Applied Mathematics,Information Systems,General Medicine

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Correlating real-world incidents with vessel traffic off the coast of Hawaii, 2017–2020;Discover Oceans;2024-01-22

2. A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset;Lecture Notes in Networks and Systems;2024

3. AIS-based maritime anomaly traffic detection: A review;Expert Systems with Applications;2023-11

4. A novel ship trajectory clustering analysis and anomaly detection method based on AIS data;Ocean Engineering;2023-11

5. Correlating real-world incidents with vessel traffic off the coast of Hawaii, 2017-2020;2023-09-12

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