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Correction: Infrastructure damage assessment via machine learning approaches: a systematic review

Correction: Infrastructure damage assessment via machine learning approaches: a systematic review Asian Journal of Civil Engineering https://doi.org/10.1007/s42107-023-00775-2 CORREC TION Correction: Infrastructure damage assessment via machine learning approaches: a systematic review 1,2 1,2 3 Mohammadmahdi Abedi  · Javad Shayanfar  · Khalifa Al‑Jabri © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023 Correction: Asian Journal of Civil Engineering The original article has been corrected. https://doi.org/10.1007/s42107-023-00748-5 The publication of this article unfortunately contained mis- takes. The title of the article was not correct. The corrected Publisher's Note Springer Nature remains neutral with regard to title is given below: jurisdictional claims in published maps and institutional affiliations. Infrastructure damage assessment via machine learning approaches: a systematic review The original article can be found online at https:// doi. org/ 10. 1007/ s42107- 023- 00748-5. * Mohammadmahdi Abedi id8012@alunos.uminho.pt Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal Institute for Sustainability and Innovation in Structural Engineering, School of Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal Department of Civil and Architectural Engineering, Sultan Qaboos University, 123 Al-Khod, Oman Vol.:(0123456789) 1 3 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Civil Engineering Springer Journals

Correction: Infrastructure damage assessment via machine learning approaches: a systematic review

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Correction: Infrastructure damage assessment via machine learning approaches: a systematic review

Abstract

Asian Journal of Civil Engineering https://doi.org/10.1007/s42107-023-00775-2 CORREC TION Correction: Infrastructure damage assessment via machine learning approaches: a systematic review 1,2 1,2 3 Mohammadmahdi Abedi  · Javad Shayanfar  · Khalifa Al‑Jabri © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023 Correction: Asian Journal of Civil Engineering The original article has been corrected....
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Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023
ISSN
1563-0854
eISSN
2522-011X
DOI
10.1007/s42107-023-00775-2
Publisher site
See Article on Publisher Site

Abstract

Asian Journal of Civil Engineering https://doi.org/10.1007/s42107-023-00775-2 CORREC TION Correction: Infrastructure damage assessment via machine learning approaches: a systematic review 1,2 1,2 3 Mohammadmahdi Abedi  · Javad Shayanfar  · Khalifa Al‑Jabri © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023 Correction: Asian Journal of Civil Engineering The original article has been corrected. https://doi.org/10.1007/s42107-023-00748-5 The publication of this article unfortunately contained mis- takes. The title of the article was not correct. The corrected Publisher's Note Springer Nature remains neutral with regard to title is given below: jurisdictional claims in published maps and institutional affiliations. Infrastructure damage assessment via machine learning approaches: a systematic review The original article can be found online at https:// doi. org/ 10. 1007/ s42107- 023- 00748-5. * Mohammadmahdi Abedi id8012@alunos.uminho.pt Department of Civil Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal Institute for Sustainability and Innovation in Structural Engineering, School of Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal Department of Civil and Architectural Engineering, Sultan Qaboos University, 123 Al-Khod, Oman Vol.:(0123456789) 1 3

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Asian Journal of Civil Engineering – Springer Journals

Published: Jun 22, 2023

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