Optimal selection of dictionary atoms for sparse dictionary learning of time-varying monitoring data in two-dimensional geotechnical problems-Reference-Cited by-同舟云学术

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Optimal selection of dictionary atoms for sparse dictionary learning of time-varying monitoring data in two-dimensional geotechnical problems

Published:2024-01 Issue: Volume:165 Page:105953
ISSN:0266-352X
Container-title:Computers and Geotechnics
language:en
Short-container-title:Computers and Geotechnics

Author:

Tian Hua-Ming,Wang Yu^ORCID

Funder

University Grants Committee Research Grants Council

Shenzhen Science and Technology Innovation Commission

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference55 articles.

1. Reliability and Statistics in Geotechnical Engineering;Baecher,2005

2. Bentley Systems, Inc., 2022. PLAXIS Geotechnical Finite Element Analysis Software. https://www.bentley.com/en/products/brands/plaxis.

3. A proposed geological model and geotechnical properties of a NSW estuarine valley: a case study;Bishop,2004

4. Finding knees in multi-objective optimization;Branke,2004

5. Brinkgreve, R. B. J., Kumarswamy, S., Swolfs, W. M., Foria, F., 2018. PLAXIS 2D Material Models Manual, PLAXIS BV.

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4. Real-time fusion of multi-source monitoring data with geotechnical numerical model results using data-driven and physics-informed sparse dictionary learning;Canadian Geotechnical Journal;2024-02-21

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