TensorFlow-Native Implementation for Crack Detection in Concrete Structures
This paper presents a TensorFlow-native implementation for automated crack detection in concrete structures, addressing the critical need for efficient and objective infrastructure monitoring. Leveraging a Convolutional Neural Network architecture with 24.8 million parameters, the model was trained...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mesopotamian Journal of Civil Engineering
2026
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12493/3053 |
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