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Visualizing Street Pavement Anomalies through Fog Computing V2I Networks and Machine Learning
Analyzing data related to the conditions of city streets and avenues could help to make better decisions about public spending on mobility. Generally, streets and avenues are fixed as soon as they have a citizen report or when a major incident occurs. However, it is uncommon for cities to have real-...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781838/ https://www.ncbi.nlm.nih.gov/pubmed/35062417 http://dx.doi.org/10.3390/s22020456 |