A framework for damage detection in AIS data based on clustering and multi-label classification-Reference-Cited by-同舟云学术

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A framework for damage detection in AIS data based on clustering and multi-label classification

Published:2024-03 Issue: Volume:76 Page:102218
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Szarmach Marta^ORCID,Czarnowski Ireneusz^ORCID

Funder

Uniwersytet Morski w Gdyni

Politechnika Gdańska

Publisher

Elsevier BV

Reference35 articles.

1. AIS transponders, Int. Marit. Organ. URL https://www.imo.org/en/OurWork/Safety/Pages/AIS.aspx.

2. Recommendation ITU-R M.1371-5;ITU,2014

3. A method for detecting possible near miss ship collisions from AIS data;Zhang;Ocean Eng.,2015

4. Satellite — Automatic Identification System (SAT-AIS) Overview, ESA CSC: Connect. & Secur. Commun. URL.

5. Overcome message collisions in satellite automatic ID systems;Swetha,2018

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1. Computation at the Cutting Edge of Science;Journal of Computational Science;2024-09

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