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, 22 p. : ill
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
notes
Bibliogr.: 41 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100830140
https://www.scopus.com/pages/publications/105016999379?origin=resultslist
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20MAR%20SCI%20ENG&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001580282000001
category (general)
Engineering
Tehnika
Environmental science
Keskkonnateadus
category (sub)
Engineering. Ocean engineering
Tehnika. Ookeani tehnika
Engineering. Civil and structural engineering
Tehnika. Ehitus- ja ehitustehnika
Environmental science. Water science and technology
Keskkonnateadus. Veeteadus ja -tehnoloogia
TalTech department
Eesti Mereakadeemia
Estonian Maritime Academy
language
English
Inglise