Statistical quality control using image intelligence: A sparse learning approach-Reference-Cited by-同舟云学术

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Statistical quality control using image intelligence: A sparse learning approach

Published:2022-08-04 Issue:7 Volume:69 Page:996-1008
ISSN:0894-069X
Container-title:Naval Research Logistics (NRL)
language:en
Short-container-title:Naval Research Logistics

Author:

Kang Yicheng¹

Affiliation:

1. Department of Information Systems & Analytics Farmer School of Business, Miami University Oxford Ohio USA

Publisher

Wiley

Subject

Management Science and Operations Research,Ocean Engineering,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nav.22069

Reference80 articles.

1. Multiscale PCA with application to multivariate statistical process monitoring

2. A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring

3. Some aspects of change-point analysis

4. Covariance regularization by thresholding

5. Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection

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2. Image Comparison Based On Local Pixel Clustering;Technometrics;2024-03-28

3. The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics;Engineering Applications of Artificial Intelligence;2024-01

4. Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis;SSRN Electronic Journal;2024

5. Development of control charts to monitor image data using the contourlet transform method;Quality and Reliability Engineering International;2023-09-13

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