Deep learning for crack detection on masonry façades using limited data and transfer learning
Author:
Publisher
Elsevier BV
Subject
Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference65 articles.
1. Reliability-based assessment of masonry arch bridges;Casas;Constr. Build. Mater.,2011
2. An experimental study on the mechanical properties of solid clay brick masonry with traditional mortars;Soleymani;J. Build. Eng.,2022
3. Crack classification in concrete based on acoustic emission;Ohno;Constr. Build. Mater.,2010
4. Infrared thermographic inspection of murals and characterization of degradation in historic monuments;Kordatos;Constr. Build. Mater.,2013
5. Assessment of masonry arch railway bridges using non-destructive in-situ testing methods;Orbán;Eng. Struct.,2009
Cited by 29 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. Enhancing autonomous pavement crack detection: Optimizing YOLOv5s algorithm with advanced deep learning techniques;Measurement;2025-01
2. Lightweight network for millimeter-level concrete crack detection with dense feature connection and dual attention;Journal of Building Engineering;2024-10
3. Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network;International Journal of Architectural Heritage;2024-07-17
4. Generative early architectural visualizations: incorporating architect’s style-trained models;Journal of Computational Design and Engineering;2024-07-16
5. A Reconstruction Methodology of Dynamic Construction Site Activities in 3D Digital Twin Models Based on Camera Information;Buildings;2024-07-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3