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    Adaptive Virtual Reality Exergame: Promoting Physical Activity Among Workers 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 022 ):;issue: 003:;page 31002-1
    Author(s): Stranick, Thomas; Lopez, Christian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work presents a virtual reality (VR) Exergame application designed to prevent work-related musculoskeletal disorders (WMSDs). Moreover, to help adapt the tasks of the exergame, a machine learning model that predicts ...
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    Evaluating the Impact of Idea Dissemination Methods on Information Loss 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 003:;page 31006
    Author(s): Victoria Zhao, Zixuan; Lopez, Christian E.; Tucker, Conrad S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Information is transferred through a process consisting of an information source, a transmitter, a channel, a receiver, and its destination. Unfortunately, during the engineering design process, there is a risk of a design ...
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    Evaluating the Impact of Idea Dissemination Methods on Information Loss 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 003:;page 31006
    Author(s): Victoria Zhao, Zixuan; Lopez, Christian E.; Tucker, Conrad S.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Information is transferred through a process consisting of an information source, a transmitter, a channel, a receiver, and its destination. Unfortunately, during the engineering design process, there is a risk of a design ...
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    Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 005:;page 051005-1
    Author(s): López, Christian E.; Cunningham, James; Ashour, Omar; Tucker, Conrad S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work presents a deep reinforcement learning (DRL) approach for procedural content generation (PCG) to automatically generate three-dimensional (3D) virtual environments that users can interact with. The primary objective ...
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    Estimation of Control Intervals for Reinforcement Learning-Based Manufacturing-Line Control 

    Source: Journal of Computing and Information Science in Engineering:;2026:;volume( 026 ):;issue:007:;page 738
    Author(s): Guo, Chen-Wei; Ashour, Omar; López, Christian; Tucker, Conrad
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Generative AI is reshaping manufacturing by generating designs, diagnosing bottlenecks, and optimizing complex systems, which includes controlling manufacturing lines. Efficient control of manufacturing lines ...
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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