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1-20 of 84
Keywords: machine learning
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Journal Articles
J Ship Prod Des 39 (03): 133–153.
Paper Number: SNAME-JSPD-04220014
Published: 21 August 2023
... the conceptual and preliminary design stages. 2 4 2022 20 5 2023 19 6 2023 21 8 2023 Copyright 2023, The Society of Naval Architects and Marine Engineers machine learning ship production regression equation artificial intelligence coefficient assumption journal engine...
Journal Articles
J Ship Prod Des 39 (02): 89–98.
Paper Number: SNAME-JSPD-06220018
Published: 16 May 2023
... ergonomics month 2023 journal offshore platform evaluation machine learning operator module human computer interaction platform ship production and design research kansei engineering participant ship production engineering experiment offshore platform accommodation cabin industrial...
Journal Articles
J Ship Prod Des 39 (01): 43–53.
Paper Number: SNAME-JSPD-12210031
Published: 13 February 2023
... algorithm is a machine learning method based on theoretical statistical mechanics, which is suitable for studying small learning problems and has a good ability to solve the regression problems of nonlinear systems (Desu et al. 2014; Liang et al. 2019). When the SVM algorithm is used to predict...
Journal Articles
J Ship Prod Des 39 (01): 32–42.
Paper Number: SNAME-JSPD-10180038
Published: 13 February 2023
... into consideration. 27 2 2019 9 12 2022 30 12 2022 13 2 2023 Copyright 2023, The Society of Naval Architects and Marine Engineers optimization problem evolutionary algorithm asia government resistance optimization efficiency marine transportation europe government machine...
Journal Articles
J Ship Prod Des 38 (04): 199–214.
Paper Number: SNAME-JSPD-10210026
Published: 30 November 2022
... environmental law freight & logistics services ship coefficient modification ship production engine load north america government machine learning propeller consumption design draft month 2022 cavitation engine efficiency surface area fuel consumption perpendicular europe government...
Journal Articles
Johanna M. Daniel, Max G. Schuster, Gyde Andresen-Paulsen, Florian Holz, Kurt Wittekind, Sören Ehlers
J Ship Prod Des 38 (04): 220–238.
Paper Number: SNAME-JSPD-06210017
Published: 30 November 2022
...). 21 6 2021 3 9 2022 29 9 2022 30 11 2022 Copyright 2022, The Society of Naval Architects and Marine Engineers noise engine marine transportation machine learning ship production month 2022 freight & logistics services frequency contribution journal prediction...
Journal Articles
Jinho Song, Junhee Lee, Daewoon Kim, Won-Don Kim, Tae-Won Kang, Jeung-Youb Kim, Jong-Ho Nam, Kwanghee Ko
J Ship Prod Des 38 (03): 129–139.
Paper Number: SNAME-JSPD-04210012
Published: 31 August 2022
Journal Articles
J Ship Prod Des 38 (02): 100–114.
Paper Number: SNAME-JSPD-03210008
Published: 13 May 2022
Journal Articles
Daniel P. Vieira, Rodrigo M. Amarante, Kam Y. Kang, Lariuss Zago, Raul Dotta, Rodrigo S. Lavieri, Claudio M. Sampaio, Kazuo Nishimoto
J Ship Prod Des 38 (02): 89–99.
Paper Number: SNAME-JSPD-02210006
Published: 13 May 2022
... stages of the FLNG project. liquified natural gas social responsibility upstream oil & gas renewable energy machine learning artificial intelligence lng gas monetization subsea system fpso sustainability marine transportation sustainable development floating production storage...
Journal Articles
J Ship Prod Des 38 (02): 76–88.
Paper Number: SNAME-JSPD-02200005
Published: 13 May 2022
... opens numerous opportunities for further research. artificial intelligence ship norway upstream oil & gas shipyard regression calculation machine learning marine transportation month 2022 production time foreign builder ship production delivery complexity shipbuilding norwegian...
Journal Articles
J Ship Prod Des 38 (01): 9–18.
Paper Number: SNAME-JSPD-10200027
Published: 10 February 2022
... into a competitive advantage through predictive analytics. Not only can this data be literally mined, but machine learning algorithms, such as Artificial Neural Networks (ANN), can now process it for a speedy and preliminary estimate through faster and cheaper computing power. To be clear, the purpose...
Journal Articles
J Ship Prod Des 38 (01): 28–38.
Paper Number: SNAME-JSPD-07190039
Published: 10 February 2022
... PRODUCTION AND DESIGN artificial intelligence evolutionary algorithm optimization problem upstream oil & gas sustainable development sustainability machine learning social responsibility marine transportation fishing vessel form optimization february 2022 optimization rankine source...
Journal Articles
J Ship Prod Des 37 (04): 228–236.
Paper Number: SNAME-JSPD-12180058
Published: 12 November 2021
... OF SHIP PRODUCTION AND DESIGN us government artificial intelligence electric propulsion system evaluation proceedings ship production matrix risk prediction assessment probability siep algorithm diagram machine learning probability matrix equation mhmm-viterbi algorithm sequence state...
Journal Articles
J Ship Prod Des 37 (03): 181–195.
Paper Number: SNAME-JSPD-08200020
Published: 19 August 2021
... 19 8 2021 19 8 2021 2021. The Society of Naval Architects and Marine Engineers machine learning strategic planning and management social responsibility artificial intelligence marine design conference contract competitiveness hypothesis august 2021 sustainability...
Journal Articles
J Ship Prod Des 37 (02): 117–129.
Paper Number: SNAME-JSPD-08190050
Published: 10 May 2021
... of Naval Architects and Marine Engineers artificial intelligence formula freight & logistics services dimension us government slenderness fe analysis requirement may 2021 imperfection column slenderness ship production machine learning marine transportation stiffener coefficient...
Journal Articles
J Ship Prod Des 36 (02): 143–151.
Paper Number: SNAME-JSPD-2020-36-2-143
Published: 01 May 2020
.... The conclusions can be used to guide the accuracy control in the hull block building process and reduce dimension trimming. 1 5 2020 1 5 2020 2020. The Society of Naval Architects and Marine Engineers marine transportation variation hull block machine learning accuracy double-bottom...
Journal Articles
J Ship Prod Des 36 (02): 105–114.
Paper Number: SNAME-JSPD-2020-36-2-105
Published: 01 May 2020
... analysis results, which met the engineering constraints. It provides the important basis for the subsequent assembly. 1 5 2020 1 5 2020 2020. The Society of Naval Architects and Marine Engineers optimization problem constraint registration machine learning marine transportation...
Journal Articles
J Ship Prod Des 35 (04): 328–337.
Paper Number: SNAME-JSPD-2019-35-4-328
Published: 01 November 2019
... 2019 1 11 2019 2019. The Society of Naval Architects and Marine Engineers neural network Engineering classifier Artificial Intelligence classification information november 2019 educational technology plate classification heating machine learning ship production...
Journal Articles
J Ship Prod Des 35 (04): 353–363.
Paper Number: SNAME-JSPD-2019-35-4-353
Published: 01 November 2019
... 2019. The Society of Naval Architects and Marine Engineers evolutionary algorithm node lightweight file metals & mining information november 2019 triangle Artificial Intelligence lightweight model boundary curve b-spline curve design point machine learning ship production...
Journal Articles
J Ship Prod Des 35 (03): 211–219.
Paper Number: SNAME-JSPD-2019-35-3-211
Published: 01 August 2019
... Engineers machine learning curvature plate curved hull plate heating line marine transportation shipyard big data ship production curvature radius Artificial Intelligence regularity experiment technical parameter hull plate local shrinkage shrinkage deformation shipbuilding influence...
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