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    Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 024 ):;issue: 001:;page 10801-1
    Author(s): Song, Binyang; Zhou, Rui; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of multiple data modalities has the potential to reshape various applications. This paper presents a comprehensive overview of the ...
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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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    Monitoring Wear of a Deep Groove Ball Bearing Using Ultrasonic Reflection 

    Source: Journal of Tribology:;2023:;volume( 145 ):;issue: 010:;page 104301-1
    Author(s): Zhou, Rui; Li, Meng; Zhang, Rongfeng; Liu, Li yuan; Yang, Jun; Liu, Heng; Liu, Yi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Wear changes the contact state and contact stiffness of the interface between the ball and the outer raceway under the operation of a deep groove ball bearing, resulting in the change of reflection coefficient of the ...
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