TY - JOUR
T1 - Correction: Infrastructure damage assessment via machine learning approaches: a systematic review
T2 - Infrastructure damage assessment via machine learning approaches: a systematic review (Asian Journal of Civil Engineering, (2023), 24, 8, (3823-3852), 10.1007/s42107-023-00748-5)
AU - Abedi, Mohammadmahdi
AU - Shayanfar, Javad
AU - Al-Jabri, Khalifa
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2023/6/22
Y1 - 2023/6/22
N2 - The publication of this article unfortunately contained mistakes. The title of the article was not correct. The corrected title is given below: Infrastructure damage assessment via machine learning approaches: a systematic review The original article has been corrected.
AB - The publication of this article unfortunately contained mistakes. The title of the article was not correct. The corrected title is given below: Infrastructure damage assessment via machine learning approaches: a systematic review The original article has been corrected.
UR - http://www.scopus.com/inward/record.url?scp=85162974209&partnerID=8YFLogxK
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UR - https://www.mendeley.com/catalogue/57d796db-21b1-345c-a856-2d3a4ff8ab3f/
U2 - 10.1007/s42107-023-00775-2
DO - 10.1007/s42107-023-00775-2
M3 - Article
AN - SCOPUS:85162974209
SN - 1563-0854
VL - 25
SP - 1129
JO - Asian Journal of Civil Engineering
JF - Asian Journal of Civil Engineering
IS - 1
ER -