Intelligent Detection of Cracks in Metallic Surfaces Using a Waveguide Sensor Loaded with Metamaterial Elements

This work presents a real-life experiment implementing an artificial intelligence model for detecting sub-millimeter cracks in metallic surfaces on a dataset obtained from a waveguide sensor loaded with metamaterial elements. Crack detection using microwave sensors is typically based on human observ...

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Detalles Bibliográficos
Autores principales: Ali, Abdulbaset, Hu, Bing, Ramahi, Omar M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481976/
https://www.ncbi.nlm.nih.gov/pubmed/25988871
http://dx.doi.org/10.3390/s150511402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481976/
https://www.ncbi.nlm.nih.gov/pubmed/25988871
http://dx.doi.org/10.3390/s150511402

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