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Review of Artificial Intelligence Applications for Virtual Sensing of Underground Utilities
Accurately identifying the location and depth of buried utility assets became a considerable challenge in the construction industry, for which accidental strikes can cause important economic losses and safety concerns. While the collection of as-built utility locations is becoming more accurate, the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181770/ https://www.ncbi.nlm.nih.gov/pubmed/37177570 http://dx.doi.org/10.3390/s23094367 |