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Automated Geometric Imperfection Detection and Quantification of CFS Members from Point Clouds

Published Print: 2022-09

Authors

Güldür Erkal, Burcu https://orcid.org/0000-0001-5757-736X
Çağrıcı, Özge Gizem https://orcid.org/0000-0003-0719-8702
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Text and Data Mining valid from 2022-09-01

Text and Data Mining valid from 2022-09-01

Version of Record valid from 2024-08-20
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This article is maintained by: Elsevier

Article Title: Automated Geometric Imperfection Detection and Quantification of CFS Members from Point Clouds

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-022-0795-9

Content Type: article

Copyright: Copyright © 2022 © Korean Society of Civil Engineers 2022 published by Elsevier inc. Published by Elsevier Inc.

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