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Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset

Author(s): ORCID
ORCID
ORCID

Medium: journal article
Language(s): English
Published in: Sustainable Cities and Society, , v. 115
Page(s): 105837
DOI: 10.1016/j.scs.2024.105837
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: 10.1016/j.scs.2024.105837.
  • About this
    data sheet
  • Reference-ID
    10806067
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
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