Spatial modeling and monitoring considering long-range dependence
Author:
Affiliation:
1. Department of Industrial, Systems and Manufacturing Engineering, Wichita State University, Wichita, Kansas
2. Department of Industrial and Systems Engineering, University of Iowa, Iowa City, Iowa
Funder
National Science Foundation
Kansas NASA EPSCoR Research Infrastructure Development Program
NASA EPSCoR Program
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/00224065.2023.2260018
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3. Bergmann, P., M. Fauser, D. Sattlegger, and C. Steger. 2019. MVTec AD–A comprehensive real-world dataset for unsupervised anomaly detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9592–600.
4. Biermé, H. 2019. Introduction to random fields and scale invariance. In Stochastic geometry, 129–80. Basel, Switzerland: Springer.
5. Monitoring for changes in the nature of stochastic textured surfaces
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