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    Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 012:;page 121704-1
    Author(s): Zhou, Rui; Zhang, Yanxia; Yuan, Chenyang; Permenter, Frank; Arechiga, Nikos; Klenk, Matt; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article introduces a generative model designed for multimodal control over text-to-image foundation generative artificial intelligence (AI) models such as Stable Diffusion, specifically tailored for engineering design ...
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    Data-Driven Car Drag Prediction With Depth and Normal Renderings 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 005:;page 51714-1
    Author(s): Song, Binyang; Yuan, Chenyang; Permenter, Frank; Arechiga, Nikos; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Generative artificial intelligence (AI) models have made significant progress in automating the creation of 3D shapes, which has the potential to transform car design. In engineering design and optimization, evaluating ...
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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