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Applying State-of-the-Art Deep-Learning Methods to Classify Urban Cities of the Developing World
This paper shows the efficacy of a novel urban categorization framework based on deep learning, and a novel categorization method customized for cities in the global south. The proposed categorization method assesses urban space broadly on two dimensions—the states of urbanization and the architectu...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621463/ https://www.ncbi.nlm.nih.gov/pubmed/34833546 http://dx.doi.org/10.3390/s21227469 |