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May 26, 2023

Erratum for “Deep Learning–Based Automated Generation of Material Data with Object–Space Relationships for Scan to BIM”

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Publication: Journal of Management in Engineering
Volume 39, Issue 5
The following correction should be made to “Deep Learning–Based Automated Generation of Material Data with Object–Space Relationships for Scan to BIM” by Sohyun Kim, Kwangbok Jeong, Taehoon Hong, Jaehong Lee, and Jaewook Lee, https://doi.org/10.1061/JMENEA.MEENG-5143:
The reference for Wang 2012 should be removed and replaced with
Sacks, R., C. Eastman, G. Lee, and P. Teicholz. 2018. BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers. 3rd ed. Hoboken, NJ: Wiley.
To preserve the published version of record, these details have been corrected only in this erratum.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 39Issue 5September 2023

History

Received: Mar 27, 2023
Accepted: Apr 3, 2023
Published online: May 26, 2023
Published in print: Sep 1, 2023
Discussion open until: Oct 26, 2023

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Graduate Research Assistant, Dept. of Architectural Engineering, Sejong Univ., Seoul 05006, Republic of Korea. Email: [email protected]
Kwangbok Jeong [email protected]
Assistant Professor, Deep Learning Architecture Research Center, Dept. of Architectural Engineering, Sejong Univ., Seoul 05006, Republic of Korea. Email: [email protected]
Taehoon Hong, A.M.ASCE [email protected]
Underwood Distinguished Professor, Dept. of Architecture and Architectural Engineering, Yonsei Univ., Seoul 03722, Republic of Korea. Email: [email protected]
Jaehong Lee [email protected]
Professor, Deep Learning Architecture Research Center, Dept. of Architectural Engineering, Sejong Univ., Seoul 05006, Republic of Korea. Email: [email protected]
Professor, Deep Learning Architecture Research Center, Dept. of Architectural Engineering, Sejong Univ., Seoul 05006, Republic of Korea (corresponding author). ORCID: https://orcid.org/0000-0002-8036-4204. Email: [email protected]

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