Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques

Research article (Construction and Building Materials, 2021) · cited 73× · AI/ML
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Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques

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Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques is a scholarly article[1].

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  • Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/cost-effective-system-for-detection-and-quantification-of-concrete-surface-cracks-by-combination-of-convolutional-neural
MLA “Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cost-effective-system-for-detection-and-quantification-of-concrete-surface-cracks-by-combination-of-convolutional-neural.
BibTeX @misc{4ortxyz_cost-effective-system-for-detection-and-quantification-of-concrete-surface-cracks-by-combination-of-convolutional-neural_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques}}, year = {2026}, url = {https://4ort.xyz/entity/cost-effective-system-for-detection-and-quantification-of-concrete-surface-cracks-by-combination-of-convolutional-neural}, note = {Accessed: 2026-05-24}}
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