Deep Learning for Detecting Building Defects Using Convolutional Neural Networks.

Perez, Husein; Tah, Joseph H M; Mosavi, Amir

Perez, Husein; Tah, Joseph H M; Mosavi, Amir.

Afiliación

Perez H; Oxford Institute for Sustainable Development, School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK. hperez@brookes.ac.uk.
Tah JHM; Oxford Institute for Sustainable Development, School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK.
Mosavi A; Oxford Institute for Sustainable Development, School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK.

Sensors (Basel) ; 19(16)2019 Aug 15.

Article en En | MEDLINE | ID: mdl-31443244

Palabras clave

building defects; class activation mapping (CAM); convolutional neural networks (CNN); deep learning; structural-health monitoring; transfer learning

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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo

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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido