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Retrofitted gate rudder system in situ performance analysis using data-driven method

author
Zhou, Yi
Turkmen, Serkan
Pazouki, Kayvan
Norman, Rose
statement of authorship
Yi Zhou, Serkan Turkmen, Kayvan Pazouki, and Rose Norman
source
Journal of marine science and engineering
publisher
MDPI
journal volume number month
vol. 13, 9
year of publication
2025
pages
art. 1667
url
https://doi.org/10.3390/jmse13091667
subject term
laevaehitus
energiatõhusus
tehisõpe
keyword
ship performance modeling
energy saving devices
ship energy efficiency
multiple regression
machine learning (ML)
ISSN
2077-1312
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/pages/publications/105016999379?origin=resultslist
TalTech department
Eesti Mereakadeemia
language
Inglise
Zhou, Y., Turkmen, S., Pazouki, K., Norman, R. Retrofitted gate rudder system in situ performance analysis using data-driven method // Journal of marine science and engineering (2025) vol. 13, 9, art. 1667. https://doi.org/10.3390/jmse13091667