A convolutional neural network approach to classifying urban spaces using generative tools for data augmentation
Autor(en): |
Carlos Medel-Vera
(School of Architecture, University of Liverpool, Liverpool, UK)
Pelayo Vidal-Estévez (School of Civil Engineering, Faculty of Engineering and Sciences, Universidad Diego Portales, Santiago, Chile) Thomas Mädler (School of Civil Engineering and Institute of Astrophysical Studies, Faculty of Engineering and Sciences, Universidad Diego Portales, Santiago, Chile) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | International Journal of Architectural Computing, September 2024, n. 3, v. 22 |
Seite(n): | 392-411 |
DOI: | 10.1177/14780771231225697 |
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Datenseite - Reference-ID
10749793 - Veröffentlicht am:
14.01.2024 - Geändert am:
10.11.2024