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    A Predictive and Generative Design Approach for Three-Dimensional Mesh Shapes Using Target-Embedding Variational Autoencoder 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 114501
    Author(s): Li, Xingang;Xie, Charles;Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we present a predictive and generative design approach for supporting the conceptual design of product shapes in 3D meshes. We develop a target-embedding variational autoencoder (TEVAE) neural network ...
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    Predicting Sequential Design Decisions Using the Function-Behavior-Structure Design Process Model and Recurrent Neural Networks 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 008:;page 081706-1
    Author(s): Rahman, Molla Hafizur; Xie, Charles; Sha, Zhenghui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In engineering systems design, designers iteratively go back and forth between different design stages to explore the design space and search for the best design solution that satisfies all design constraints. For complex ...
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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
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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