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    Data-Driven Platform Design: Patent Data and Function Network Analysis 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 002:;page 21101
    Author(s): Song, Binyang; Luo, Jianxi; Wood, Kristin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A properly designed product-system platform seeks to reduce the cost and lead time for design and development of the product-system family. A key goal is to achieve a tradeoff between economy of scope from product variety ...
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    Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 004:;page 41410-1
    Author(s): Song, Binyang; Miller, Scarlett; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conceptual design evaluation is an indispensable component of innovation in the early stage of engineering design. Properly assessing the effectiveness of conceptual design requires a rigorous evaluation of the outputs. ...
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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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    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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    Patent Data for Engineering Design: A Critical Review and Future Directions 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 006:;page 60902
    Author(s): Jiang, Shuo;Sarica, Serhad;Song, Binyang;Hu, Jie;Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Patent data have long been used for engineering design research because of its large and expanding size and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence ...
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    ADVISE: Accelerating the Creation of Evidence Syntheses for Global Development Using Natural Language Processing-Supported Human-Artificial Intelligence Collaboration 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 005:;page 51404-1
    Author(s): Edwards, Kristen M.; Song, Binyang; Porciello, Jaron; Engelbert, Mark; Huang, Carolyn; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: When designing evidence-based policies and programs, decision-makers must distill key information from a vast and rapidly growing literature base. Identifying relevant literature from raw search results is time and resource ...
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    Does Analogical Distance Affect Performance of Ideation? 

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 007:;page 71101
    Author(s): Srinivasan, V.; Song, Binyang; Luo, Jianxi; Subburaj, Karupppasamy; Elara, Mohan Rajesh; Blessing, Lucienne; Wood, Kristin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Identifying relevant stimuli that help generate solutions of desired novelty and quality is challenging in analogical design. To quell this challenge, the multifaceted effects of using stimuli which are located at various ...
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