Sea state identification using machine learning—A comparative study based on in-service data from a container vessel-Reference-Cited by-同舟云学术

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Sea state identification using machine learning—A comparative study based on in-service data from a container vessel

Published:2022-09 Issue: Volume:85 Page:103274
ISSN:0951-8339
Container-title:Marine Structures
language:en
Short-container-title:Marine Structures

Author:

Mittendorf Malte^ORCID,Nielsen Ulrik Dam,Bingham Harry B.,Storhaug Gaute

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,General Materials Science

Reference59 articles.

1. Predicting extreme parametric roll in container ships;Meister,2019

2. Remote and autonomous ships—the next steps: Safety and security in autonomous shipping—challenges for research and development;Jalonen,2016

3. Sea state estimation based on measurements of wave-induced ship responses;Nielsen,2018

4. A concise account of techniques available for shipboard sea state estimation;Nielsen;Ocean Eng,2017

5. On the evaluation of sea spectra based on measured ship motions;Takekuma;Trans West-Jpn Soc Nav Archit,1973

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