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Predicting the presence of hazardous materials in buildings using machine learning

Author(s): ORCID




Medium: journal article
Language(s): English
Published in: Building and Environment, , v. 213
Page(s): 108894
DOI: 10.1016/j.buildenv.2022.108894
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.buildenv.2022.108894.
  • About this
    data sheet
  • Reference-ID
    10661683
  • Published on:
    28/03/2022
  • Last updated on:
    28/03/2022
 
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