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Yung-Tsun Tina Lee

Showing results (1-10 of 9) with videos related to

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Journal of Research of the National Institute of Standards and Technology|March 10, 2016
A Journey in Standard Development: The Core Manufacturing Simulation Data (CMSD) Information ModelYung-Tsun Tina Lee
International Journal of Production Research|December 11, 2020
Enriching Analytics Models with Domain Knowledge for Smart Manufacturing Data AnalysisHeng Zhang, Utpal Roy, Yung-Tsun Tina Lee
Journal of Intelligent Manufacturing|December 28, 2020
Online monitoring and control of a cyber-physical manufacturing process under uncertaintySaideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey, et al.
Reliability Engineering & System Safety|October 26, 2020
Fast Surrogate Modeling using Dimensionality Reduction in Model Inputs and Field Output: Application to Additive ManufacturingManav Vohra, Paromita Nath, Sankaran Mahadevan, et al.
Plos One|July 10, 2019
Complexity and entropy representation for machine component diagnosticsSrinivasan Radhakrishnan, Yung-Tsun Tina Lee, Sudarsan Rachuri, et al.
Additive Manufacturing|January 4, 2021
Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracyParomita Nath, Joseph D Olson, Sankaran Mahadevan, et al.
Smart and Sustainable Manufacturing Systems|October 8, 2020
A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect DetectionMax Ferguson, Yung-Tsun Tina Lee, Anantha Narayanan, et al.
Smart and Sustainable Manufacturing Systems|May 17, 2019
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer LearningMax K Ferguson, Ak Ronay, Yung-Tsun Tina Lee, et al.
Smart and Sustainable Manufacturing Systems|July 6, 2019
Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in ManufacturingSaideep Nannapaneni, Anantha Narayanan, Ronay Ak, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Research of the National Institute of Standards and Technology|March 10, 2016
A Journey in Standard Development: The Core Manufacturing Simulation Data (CMSD) Information ModelYung-Tsun Tina Lee
International Journal of Production Research|December 11, 2020
Enriching Analytics Models with Domain Knowledge for Smart Manufacturing Data AnalysisHeng Zhang, Utpal Roy, Yung-Tsun Tina Lee
Journal of Intelligent Manufacturing|December 28, 2020
Online monitoring and control of a cyber-physical manufacturing process under uncertaintySaideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey, et al.
Reliability Engineering & System Safety|October 26, 2020
Fast Surrogate Modeling using Dimensionality Reduction in Model Inputs and Field Output: Application to Additive ManufacturingManav Vohra, Paromita Nath, Sankaran Mahadevan, et al.
Plos One|July 10, 2019
Complexity and entropy representation for machine component diagnosticsSrinivasan Radhakrishnan, Yung-Tsun Tina Lee, Sudarsan Rachuri, et al.
Additive Manufacturing|January 4, 2021
Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracyParomita Nath, Joseph D Olson, Sankaran Mahadevan, et al.
Smart and Sustainable Manufacturing Systems|October 8, 2020
A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect DetectionMax Ferguson, Yung-Tsun Tina Lee, Anantha Narayanan, et al.
Smart and Sustainable Manufacturing Systems|May 17, 2019
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer LearningMax K Ferguson, Ak Ronay, Yung-Tsun Tina Lee, et al.
Smart and Sustainable Manufacturing Systems|July 6, 2019
Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in ManufacturingSaideep Nannapaneni, Anantha Narayanan, Ronay Ak, et al.
Pageof 1