An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data
Author:
Affiliation:
1. Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA;
2. Universita del Salento, Lecce, Italy;
3. Politecnico di Milano
Funder
National Science Foundation
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2018.1540901
Reference28 articles.
1. A Basis for the Selection of a Response Surface Design
2. A Complementary Sensor Approach to Reverse Engineering
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4. A tolerance interval based criterion for optimizing discrete point sampling strategies
5. Multisensor data fusion via Gaussian process models for dimensional and geometric verification
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