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    Feature Edge Extraction Via Angle-Based Edge Collapsing and Recovery 

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 002:;page 21001
    Author(s): Yamakawa, Soji; Shimada, Kenji
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new method for extracting feature edges from computer-aided design (CAD)-generated triangulations. The major advantage of this method is that it tends to extract feature edges along the centroids of ...
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    Improved Feasible-Set Method for Removing Mesh Inversion 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 004
    Author(s): Yamakawa, Soji; Shimada, Kenji
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new computational method based on the feasible-set method (Berndt, Kucharik, and Shashkov, 2010, “Using the Feasible Set Method for Rezoning in ALE,” Procedia Comput., 1(1), pp. 1879–1886 and Vachal, ...
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    Three-Dimensional Ship Hull Encoding and Optimization via Deep Neural Networks 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 010:;page 101701
    Author(s): Wang, Yuyang;Joseph, Joe;Aniruddhan Unni, T. P.;Yamakawa, Soji;Barati Farimani, Amir;Shimada, Kenji
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design and optimization of hull shapes for optimal hydrodynamic performance have been a major challenge for naval architectures. Deep learning bears the promise of comprehensive geometric representation and new design ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian