Crack Detection in Masonry Structures using Convolutional Neural Networks and Support Vector Machines-Reference-Cited by-同舟云学术

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Crack Detection in Masonry Structures using Convolutional Neural Networks and Support Vector Machines

Published:2018-07-22 Issue: Volume: Page:
ISSN:2413-5844
Container-title:Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)
language:
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Author:

Chaiyasarn Krisada,Khan Wasif,Ali Luqman,Sharma Mayank,Brackenbury Daniel,Dejong Matthew

Publisher

International Association for Automation and Robotics in Construction (IAARC)

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network;International Journal of Architectural Heritage;2024-07-17

2. Bridging Convolutional Neural Networks and Transformers for Efficient Crack Detection in Concrete Building Structures;Sensors;2024-06-30

3. Predicting the Characteristics of Defects in Wood Structures Using Image Processing and CNN;Advances in Mechatronics and Mechanical Engineering;2024-05-20

4. Semantic Segmentation of Cracks on Masonry Surfaces Using Deep-Learning Techniques;Practice Periodical on Structural Design and Construction;2024-05

5. Using mask R-CNN to rapidly detect the gold foil shedding of stone cultural heritage in images;Heritage Science;2024-02-06

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