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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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| Publicado en: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2020
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| Assuntos: | |
| Acceso en liña: | 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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