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Machine learning for buildings’ characterization and power-law recovery of urban metrics

In this paper we focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation to a surveyed subset lead us to adopt data-driven techniques to extend our know...

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Detalles Bibliográficos
Autores principales: Krayem, Alaa, Yeretzian, Aram, Faour, Ghaleb, Najem, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842992/
https://www.ncbi.nlm.nih.gov/pubmed/33508036
http://dx.doi.org/10.1371/journal.pone.0246096