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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors Cover

Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors

Polish Maritime Research
Volume 31 (2024): Issue 4 (December 2024)
By: Janghoon Seo,  Jung Yoon Park,  Juhwan Ma,  Young Bu Kim and  Dong-Woo Park  
Open Access
|Dec 2024

Authors

Janghoon Seo

Shipbuilding & Marine Simulation Center, Tongmyong University, Busan, Republic of Korea

Jung Yoon Park

Shipbuilding & Marine Simulation Center, Tongmyong University, Busan, Republic of Korea

Juhwan Ma

Safety Research Department, Korea Maritime Transportation Safety Authority, Sejong, Republic of Korea

Young Bu Kim

Department of Computer Science, Tongmyong University, Busan, Republic of Korea

Dong-Woo Park

dwpark@tu.ac.kr

Autonomous Vehicle System Engineering Major, School of Electrical and Control Engineering, Tongmyong University, Busan, Republic of Korea
DOI: https://doi.org/10.2478/pomr-2024-0046 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 4 - 20
Published on: Dec 10, 2024
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Deep learning model,
Flettner rotor,
Computational fluid dynamics,
Aerodynamic performance
Related subjects:
Geosciences,
Atmospheric science and climatology,
Engineering,
Introductions and overviews,
Engineering, other,
Life sciences,
Life sciences, other

© 2024 Janghoon Seo, Jung Yoon Park, Juhwan Ma, Young Bu Kim, Dong-Woo Park, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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