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A convolutional neural network approach to classifying urban spaces using generative tools for data augmentation

Author(s): ORCID (School of Architecture, University of Liverpool, Liverpool, UK)
(School of Civil Engineering, Faculty of Engineering and Sciences, Universidad Diego Portales, Santiago, Chile)
ORCID (School of Civil Engineering and Institute of Astrophysical Studies, Faculty of Engineering and Sciences, Universidad Diego Portales, Santiago, Chile)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Computing, , n. 3, v. 22
Page(s): 392-411
DOI: 10.1177/14780771231225697
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: 10.1177/14780771231225697.
  • About this
    data sheet
  • Reference-ID
    10749793
  • Published on:
    14/01/2024
  • Last updated on:
    10/11/2024
 
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