Corrigendum to CrackDenseLinkNet: a deep convolutional neural network for semantic segmentation of cracks on concrete surface images

IF 5.7 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Structural Health Monitoring-An International Journal Pub Date : 2023-09-02 DOI:10.1177/14759217231199536

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CrackDenseLinkNet勘误表：用于混凝土表面图像裂纹语义分割的深度卷积神经网络

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来源期刊

Structural Health Monitoring-An International Journal 工程技术-工程：综合

CiteScore

12.80

自引率

12.10%

发文量

181

审稿时长

4.8 months

期刊介绍： Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.

期刊最新文献

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring. Deep learning-based concrete defects classification and detection using semantic segmentation. Combination of active sensing method and data-driven approach for rubber aging detection Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis An unsupervised transfer learning approach for rolling bearing fault diagnosis based on dual pseudo-label screening