Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning

Developing efficient Artificial Intelligence (AI)-enabled systems to substitute the human role in non-destructive testing is an emerging topic of considerable interest. In this study, we propose a novel hammering response analysis system using online machine learning, which aims at achieving near-hu...

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Detalles Bibliográficos
Autores principales: Ye, Jiaxing, Kobayashi, Takumi, Iwata, Masaya, Tsuda, Hiroshi, Murakawa, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876765/
https://www.ncbi.nlm.nih.gov/pubmed/29522500
http://dx.doi.org/10.3390/s18030833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876765/
https://www.ncbi.nlm.nih.gov/pubmed/29522500
http://dx.doi.org/10.3390/s18030833

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