Transfer Learning Model for Crack Detection in Side SlopesBased on Crack-Net by Na Li, Yilong Zhang, Qing Zhang, Shaoguang Zhu

Subjects: “…crack detection…”
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CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning by Abdulrahman A. Alkannad, Ahmad Al Smadi, Shuyuan Yang, Mutasem K. Al-Smadi, Moeen Al-Makhlafi, Zhixi Feng, Zhenlong Yin

Subjects: “…Concrete crack detection…”
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Impact of Image Preprocessing and Crack Type Distribution on YOLOv8-Based Road Crack Detection by Luxin Fan, Saihong Tang, Mohd Khairol Anuar b. Mohd Ariffin, Mohd Idris Shah Ismail, Xinming Wang

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Clustering approach for crack detection in GPR data: Influence of infilling material on detectability by Mercedes Solla, Norberto Fernández, Ahmed Elseicy, Jorge Pais

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Crack Detection of Fan Blade Based on Natural Frequencies by Mengyao Yu, Sheng Fu, Yinbo Gao, Hao Zheng, Yonggang Xu

“…The damage of a blade was detected using the changes in natural frequencies. …”
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Diagnostic Accuracy of Methods Used to Detect Cracked Teeth by Veronica Kindaro, Huon Molland, Sara Shirbegi, Paul Renner, Unni Krishnan

“…Experienced dentists were more accurate in detecting cracked teeth. Conclusions Visual diagnostic methods cannot definitively diagnose cracks. …”
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Operational Modal Analysis for Crack Detection in Rotating Blades by Jarosław BEDNARZ

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Addressing Data Scarcity in Crack Detection via CrackModel: A Novel Dataset Synthesis Approach by Jian Ma, Yuan Meng, Weidong Yan, Guoqi Liu, Xueyan Guo

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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Scientific knowledge of image-based crack detection methods is limited in understanding their performance across diverse crack sizes, types, and environmental conditions. …”
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Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

Subjects: “…crack detection…”
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Pavement crack detection based on depth-supervision FRRN model by Lei Wang, Qiangqiang Feng, Jiao Yan

“…Through experimental validation using a dataset comprising 1565 images of damaged pavements, the result demonstrate that DSFRRN outperforms the original FRRN in terms of both F1 score and Jaccard index, accurately delineating cracks. Consequently, the automated pavement damage detection method presented herein facilitates cost-effective and efficient pavement inspection, contributing to the safeguarding of roadway surfaces and transportation infrastructure.…”
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Crack Detectability in Vertical Axis Cooling Pumps During Operation by N. Bachschmid, P. Pennacchi, E. Tanzi, P. Verrier, F. Hasnaoui, K. Aabadi

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An Enhanced Percolation Method for Automatic Detection of Cracks in Concrete Bridges by Qingfei Gao, Yu Wang, Jun Li, Kejian Sheng, Chenguang Liu

“…As cracks on concrete bridges become severer and more frequent, methods of detecting cracks on concrete bridges have aroused great concern. …”
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Pavement crack detection method based on improved YOLOv5 by Wang Xiangqian, Cheng Gaoli, Hu Peng, Xia Xiaohua

Subjects: “…road surface crack detection…”
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STCYOLO: Subway Tunnel Crack Detection Model with Complex Scenarios by Jia Zhang, Hui Li, Weidong Song, Jinhe Zhang, Miao Shi

Subjects: “…tunnel crack detection…”
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Deep Learning-Based Crack Detection on Cultural Heritage Surfaces by Wei-Che Huang, Yi-Shan Luo, Wen-Cheng Liu, Hong-Ming Liu

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Novel Approach for the micro cracks detection of solar wafers and cells by Mohd Israil, Arvind Kumar Sharma, Ekta Gupta

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Crack detection in beam-like structures by nonlinear harmonic identification by Paolo Casini, Fabrizio Vestroni, Oliviero Giannini

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Reconfigurable Wireless Passive Sensor for Highly Sensitive Crack Detection by Jiahui Cai, Liu Tao, Huijuan Gu, Jun Zhang, Bei Huang, Xiangyu Xie, Lihong Dong, Haidou Wang

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Locomotive Maintenance Management System for Crack Detection Standard Operating by 王铁城

Subjects: “…locomotive crack detection…”
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