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Quantifying the usage of small public spaces using deep convolutional neural network

Small public spaces are the key built environment elements that provide venues for various of activities. However, existing measurements or approaches could not efficiently and effectively quantify how small public spaces are being used. In this paper, we utilized a deep convolutional neural network...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Hou, Jingxuan, Chen, Long, Zhang, Enjia, Jia, Haifeng, Long, Ying
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7531796/
https://ncbi.nlm.nih.gov/pubmed/33006974
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239390
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