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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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Detalles Bibliográficos
Autores principales: Hou, Jingxuan, Chen, Long, Zhang, Enjia, Jia, Haifeng, Long, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531796/
https://www.ncbi.nlm.nih.gov/pubmed/33006974
http://dx.doi.org/10.1371/journal.pone.0239390