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Ships and Offshore Structures Volume 1, 2006 - Issue 2
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Original Articles

Wake distribution prediction on the propeller plane in ship design using artificial intelligence

S.-Y. Kim
&
B. Y. Moon
Pages 89-98 | Published online: 08 Jul 2010

Citations (6)

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Read on this site (3)

Kumars Mahmoodi, Hassan Ghassemi, Hashem Nowruzi & Mohammad Mahdi Shora. (2019) Prediction of the hydrodynamic performance and cavitation volume of the marine propeller using gene expression programming. Ships and Offshore Structures 14:7, pages 723-736.
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Thaddeus C. Nwaoha, Sidum Adumene & Thankgod E. Boye. (2017) Modelling prevention and reduction methods of ship propeller cavitation under uncertainty. Ships and Offshore Structures 12:4, pages 452-460.
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Thaddeus C. Nwaoha, Andrew John & Sidum Adumene. (2017) Incorporation of novel model in failure analysis of propeller operations of sea going vessels. Ships and Offshore Structures 12:1, pages 9-18.
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Articles from other publishers (3)

Min-Kyung Lee & Inwon Lee. (2023) Optimal Design of Flow Control Fins for a Small Container Ship Based on Machine Learning. Journal of Marine Science and Engineering 11:6, pages 1149.
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Batin Latif AYLAK. (2022) The Impacts of the Applications of Artificial Intelligence in Maritime Logistics. European Journal of Science and Technology.
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Pedro-Luis Sanchez-Gonzalez, David Díaz-Gutiérrez, Teresa Leo & Luis Núñez-Rivas. (2019) Toward Digitalization of Maritime Transport?. Sensors 19:4, pages 926.
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