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Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Clients are increasingly looking for fast and effective means to quickly and frequently survey and communicate the condition of their buildings so that essential repairs and maintenance work can be done in a proactive and timely manner before it becomes too dangerous and expensive. Traditional metho...
Autores principales: | Perez, Husein, Tah, Joseph H. M., Mosavi, Amir |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720984/ https://www.ncbi.nlm.nih.gov/pubmed/31443244 http://dx.doi.org/10.3390/s19163556 |
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