Cracked concrete surface image classification on low-dimensional image using artificial intelligence algorithms
The project aims to create a Convolutional neural network (CNN) to detect and classify building cracks. Cracks are a key factor in determining how well-built a concrete structure is since they affect its sturdiness, utility, and safety. Due to its superior image processing capabilities, CNN is rapid...
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| Format: | Thesis |
| Language: | English |
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2022
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| Online Access: | http://eprints.utm.my/99565/1/RashidTahaSihamMSKE2022.pdf |