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Machine learning-based evaluation of dynamic thermal-tempering performance and thermal diversity for 107 Cambridge courtyards

Author(s): ORCID



Medium: journal article
Language(s): English
Published in: Sustainable Cities and Society, , v. 88
Page(s): 104275
DOI: 10.1016/j.scs.2022.104275
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.2022.104275.
  • About this
    data sheet
  • Reference-ID
    10702143
  • Published on:
    11/12/2022
  • Last updated on:
    16/12/2022
 
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