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Machine learning application to disaster damage repair cost modelling of residential buildings

Author(s): (School of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, UK)
(Cranfield School of Management, Cranfield University, Bedfordshire, UK)
(School of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, UK)
(School of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, UK)
(School of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, UK)
Medium: journal article
Language(s): English
Published in: Construction Management and Economics
Page(s): 1-21
DOI: 10.1080/01446193.2024.2419413
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/01446193.2024.2419413.
  • About this
    data sheet
  • Reference-ID
    10808811
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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