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An optimized metamodel for predicting damage and oil outflow in tanker collision accidents

author
Das, Tanmoy
Goerlandt, Floris
Tabri, Kristjan
statement of authorship
Tanmoy Das, Floris Goerlan and Kristjan Tabri
source
Proceedings of the institution of mechanical engineers, part M: journal of engineering for the maritime environment
publisher
Sage
journal volume number month
vol. 236, 2
year of publication
2022
pages
14 p. : ill
url
https://doi.org/10.1177/14750902211039659
subject term
nõuandesüsteemid
tehisõpe
metamodelleerimine
naftareostus
keyword
decision support system
machine learning
metamodel
oil spill
ship-ship collision
ISSN
1475-0902
notes
Bibliogr.: 77 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Tehnika
category (sub)
Tehnika. Ookeani tehnika
Tehnika. Masinaehitus
quartile
Q2
TalTech department
ehituse ja arhitektuuri instituut
language
inglise
Reserch Group
Structural and fluids mechanics research group
Das, T., Goerlandt, F., Tabri, K. An optimized metamodel for predicting damage and oil outflow in tanker collision accidents // Proceedings of the institution of mechanical engineers, part M: journal of engineering for the maritime environment (2022) vol. 236, 2, 14 p. : ill. https://doi.org/10.1177/14750902211039659