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    An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping 

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 001:;page 11002
    Author(s): Dering, Matthew L.; Tucker, Conrad S.; Kumara, Soundar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An important part of the engineering design process is prototyping, where designers build and test their designs. This process is typically iterative, time consuming, and manual in nature. For a given task, there are ...
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