A semi-supervised deep learning model for ship encounter situation classification-Reference-Cited by-同舟云学术

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A semi-supervised deep learning model for ship encounter situation classification

Published:2021-11 Issue: Volume:239 Page:109824
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Chen Xiang^ORCID,Liu Yuanchang,Achuthan Kamalasudhan,Zhang Xinyu,Chen Jinhai

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference56 articles.

1. Danish maritime authority AIS dataset;Authority,2020

2. Inferring dynamic origin-destination flows by transport mode using mobile phone data;Bachir;Transp. Res. C,2019

3. The impact of ship crews on maritime safety;Berg,2013

4. A water-obstacle separation and refinement network for unmanned surface vehicles;Bovcon,2020

5. Learning imbalanced datasets with label-distribution-aware margin loss;Cao,2019

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4. Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review;Transportation Research Part E: Logistics and Transportation Review;2024-03

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