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    Special Issue: Highlights From ASME Computers and Information in Engineering (CIE) 2017 

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 003:;page 30301
    Author(s): Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Information Embedding in Additively Manufactured Parts Through Printing Speed Control 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 007:;page 71005-1
    Author(s): ElSayed, Karim A.; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Information lithography in manufacturing is a broad set of techniques for encoding sequences of bits as physical or behavioral features in physical parts. It is an effective approach for part traceability and anti-counterfeiting. ...
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    Estimating Local Decision Making Behavior in Complex Evolutionary Systems 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 006:;page 61003
    Author(s): Sha, Zhenghui; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Research in systems engineering and design is increasingly focused on complex sociotechnical systems whose structures are not directly controlled by the designers, but evolve endogenously as a result of decisions and ...
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    A Generative Network Model for Product Evolution 

    Source: Journal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 001:;page 11003
    Author(s): Le, Qize; Sha, Zhenghui; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modeling the structure and evolution of products is important from the standpoint of improving quality and maintainability. With the increasing popularity of opensource processes for developing both software and physical ...
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    Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 011:;page 111412
    Author(s): Pandita, Piyush; Bilionis, Ilias; Panchal, Jitesh
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design optimization under uncertainty is notoriously difficult when the objective function is expensive to evaluate. State-of-the-art techniques, e.g., stochastic optimization or sampling average approximation, fail to ...
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    Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 010:;page 101404
    Author(s): Pandita, Piyush; Bilionis, Ilias; Panchal, Jitesh
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Bayesian optimal design of experiments (BODEs) have been successful in acquiring information about a quantity of interest (QoI) which depends on a black-box function. BODE is characterized by sequentially querying the ...
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    Special Issue: Highlights From ASME CIE 2018 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 003:;page 30301
    Author(s): Wang, Yan; Panchal, Jitesh H.; Mani, Mahesh
    Publisher: American Society of Mechanical Engineers (ASME)
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    Descriptive Models of Sequential Decisions in Engineering Design: An Experimental Study 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 008
    Author(s): Chaudhari, Ashish M.; Bilionis, Ilias; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering design involves information acquisition decisions such as selecting designs in the design space for testing, selecting information sources, and deciding when to stop design exploration. Existing literature has ...
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    Extraction and Analysis of Spatial Correlation Micrograph Features for Traceability in Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 005
    Author(s): Dachowicz, Adam; Atallah, Mikhail; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We propose a method for ensuring traceability of metal goods in an efficient and secure manner that leverages data obtained from micrographs of a part’s surface that is instance specific (i.e., different for another instance ...
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    A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 003:;page 31011-1
    Author(s): Hans, Atharva; Chaudhari, Ashish M.; Bilionis, Ilias; Panchal, Jitesh H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Extracting an individual’s scientific knowledge is essential for improving educational assessment and understanding cognitive tasks in engineering activities such as reasoning and decision-making. However, knowledge ...
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    DSpace software copyright © 2002-2015  DuraSpace
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