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    A Machine Learning Approach to Kinematic Synthesis of Defect-Free Planar Four-Bar Linkages 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 002:;page 21004
    Author(s): Deshpande, Shrinath; Purwar, Anurag
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Synthesizing circuit-, branch-, or order-defects-free planar four-bar mechanism for the motion generation problem has proven to be a difficult problem. These defects render synthesized mechanisms useless to machine designers. ...
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    An Image-Based Approach to Variational Path Synthesis of Linkages 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 021 ):;issue: 002:;page 021005-1
    Author(s): Deshpande, Shrinath; Purwar, Anurag
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper brings together computer vision, mechanism synthesis, and machine learning to create an image-based variational path synthesis approach for linkage mechanisms. An image-based approach is particularly amenable ...
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    MotionGen: Interactive Design and Editing of Planar Four-Bar Motions for Generating Pose and Geometric Constraints 

    Source: Journal of Mechanisms and Robotics:;2017:;volume( 009 ):;issue: 002:;page 24504
    Author(s): Purwar, Anurag; Deshpande, Shrinath; Ge, Q. J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we have presented a unified framework for generating planar four-bar motions for a combination of poses and practical geometric constraints and its implementation in MotionGen app for Apple's iOS and Google's ...
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    A Task-Driven Approach to Unified Synthesis of Planar Four-Bar Linkages Using Algebraic Fitting of a Pencil of G-Manifolds 

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003:;page 31011
    Author(s): Ge, Q. J.; Purwar, Anurag; Zhao, Ping; Deshpande, Shrinath
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper studies the problem of planar four-bar motion generation from the viewpoint of extraction of geometric constraints from a given set of planar displacements. Using the image space of planar displacements, we ...
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    Machine Learning-Driven Individualized Gait Rehabilitation: Classification, Prediction, and Mechanism Design 

    Source: Journal of Engineering and Science in Medical Diagnostics and Therapy:;2020:;volume( 003 ):;issue: 002
    Author(s): Loya, Amol; Deshpande, Shrinath; Purwar, Anurag
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a machine learning-based approach toward designing individually targeted rehabilitation devices. This approach consists of a classification model for early detection of a disease, regression, and ...
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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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