Application of machine learning for crack detection on concrete structures using CNN architecture
Author:
Affiliation:
1. KSR College of Engineering, India
Publisher
FapUNIFESP (SciELO)
Subject
General Physics and Astronomy,General Materials Science,General Chemistry
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1517-70762023000100233&tlng=en
Reference40 articles.
1. CurSeg: a pavement crack detector based on a deep hierarchical feature learning segmentation framework;YUAN G.;IET Intelligent Transport Systems,2022
2. Vision based crack detection in concrete structures using cutting-edge deep learning techniques;PARAMANANDHAM N.;TS. Traitement du Signal,2022
3. A fast inference vision transformer for automatic pavement image classification and its visual interpretation method;CHEN Y.;Remote Sensing,2022
4. Pavement crack detection from CCD images with a locally enhanced transformer network;XU Z.;International Journal of Applied Earth Observation and Geoinformation,2022
5. Concrete cracks detection using deep learning image classification;SILVA W.R.L.D.;Proceedings,2018
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1. INTELLIGENT DETECTION OF CONCRETE APPARENT DEFECTS BASED ON A DEEP LEARNING - LITERATURE REVIEW, KNOWLEDGE GAPS AND FUTURE DEVELOPMENTS;Ceramics - Silikaty;2024-04-12
2. Deep Learning-Powered Concrete Crack Classification for Improved Structural Integrity;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22
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