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...

詳細記述

書誌詳細

第一著者:	Rashid, Rashid Taha Siham
フォーマット:	学位論文
言語:	英語
出版事項:	2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/99565/1/RashidTahaSihamMSKE2022.pdf