Advances in artificial vision techniques applied to non-destructive tests in heritage buildings

Author:

Marín-García David,Moyano Juan,Bienvenido-Huertas David,Fernández-Alconchel María

Publisher

Elsevier

Reference51 articles.

1. Abed, M.H., Al-Asfoor, M., & Hussain, Z.M. (2020). CEUR Workshop Proceedings 16130073 1-12 CEUR-WS Iraq Architectural heritage images classification using deep learning with CNN, 2602. http://ceur-ws.org/.

2. Deep learning in the construction industry: A review of present status and future innovations;Akinosho;Journal of Building Engineering,2020

3. Attention-based generative adversarial network with internal damage segmentation using thermography;Ali;Automation in Construction,2022

4. An, Y.K., Jang, K., Kim, B., & Cho, S. (2018). Proceedings of SPIE - The International Society for Optical Engineering 10.1117/12.2294959 1996756X SPIE South Korea Deep learning-based concrete crack detection using hybrid images, 10598 http://spie.org/x1848.xml.

5. Science mapping research on body image: A bibliometric review of publications in Body Image, 2004–2020;Andersen;Body Image,2021

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