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Daniel Weimer et al.
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Prateek Prasanna et al.
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Ahmed Mahgoub Ahmed Talab et al.
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David Lattanzi et al.
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Texture Analysis Based Damage Detection of Ageing Infrastructural Elements
Michael O'Byrne et al.
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Biochemical attack on concrete in wastewater applications: A state of the art review
M. O'Connell et al.
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Fast crack detection method for large-size concrete surface images using percolation-based image processing
Tomoyuki Yamaguchi et al.
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Image-based crack detection for real concrete surfaces
Tomoyuki Yamaguchi et al.
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TC Hutchinson et al.
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L Abdel-Qader et al.
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