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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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 |