Development of Cracked Egg Detection Device Using Electric Discharge Phenomenon by Sung Yong Joe, Jun Hwi So, Seung Eel Oh, Soojin Jun, Seung Hyun Lee

“…This study was aimed at developing a novel device for detecting egg cracks using electric discharge phenomena. …”
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A Novel Chipless Hybrid RFID Sensor for Metal Crack Detection by Yamini Devidas Kotriwar, Mahmoodul Haq, Yiming Deng

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Deep learning-based crack detection and prediction for structural health monitoring by Satyabrata Roy, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Sourav Kumar Das

Subjects: “…Automated crack detection…”
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A research on detecting and recognizing bridge cracks in complex underwater conditions by Wang Tao, Du Tao, Zou Xiaohong, Sun Yiming

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RADNet: Adaptive Spatial-Dilation Learning for Efficient Road Crack Detection by Kehao Du, Yifan Dai

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Early surface crack detection and localization in structures: an artificial intelligence approach by Biswarup Yogi, Sourav Kumar Das, Soham Modak, Aritra Biswas, Satyabrata Roy

Subjects: “…Roof crack detection…”
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Exploring the Detection Accuracy of Concrete Cracks Using Various CNN Models by Mohammed Ameen Mohammed, Zheng Han, Yange Li

“…Automatic crack detection with the least amount of workforce has become a crucial task in the inspection and evaluation of the performances of concrete structure in civil engineering. …”
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Blade Crack Detection of Centrifugal Fan Using Adaptive Stochastic Resonance by Bingbing Hu, Bing Li

“…It is important to detect the cracks in the blades as early as possible. …”
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Method for detecting cracks in retaining walls based on improved YOLOv5s by Yanhai Wang, Chenxin Guo, Guoyong Duan, Yuhao Zhang, Chao Yang, Huafeng Deng

Subjects: “…Crack detection…”
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Lightweight Crack Automatic Detection Algorithm Based on TF-MobileNet by Jiantao Yu, Songrong Qian, Cheng Chen

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Acoustical diagnostics of cracks in beam like structures by L. MAJKUT

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Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network by Liming Zhou, Haowen Jia, Shang Jiang, Fei Xu, Hao Tang, Chao Xiang, Guoqing Wang, Hemin Zheng, Lingkun Chen

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Accuracy–Efficiency Trade-Off: Optimizing YOLOv8 for Structural Crack Detection by Jiahui Zhang, Zoia Vladimirovna Beliaeva, Yue Huang

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A novel criterion for crack detection in beam structures by frequency response functions by Nguyen Tien Khiem, Tran Thanh Hai, Le Khanh Toan, Nguyen Thi Lan, Ho Quang Quyet

“…Results obtained in numerical examples of the crack detection problem show that SAC is really a novel and efficient criterion for crack identification in beams from measured FRFs. …”
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An Optimized Dual-View Snake Unet Model for Tunnel Lining Crack Detection by Baoxian Li, Hao Xu, Xin Jin, Huaizhi Zhang, Shuo Jin, Qianyu Chen, Fengyuan Wu

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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

“…Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. …”
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A Rapid Concrete Crack Detection Method Based on Improved YOLOv8 by Yongzhen Wang, Jiacong He

Subjects: “…Concrete cracks…”
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Concrete Crack Detection, Orientation and Measurement Using a Wall Climbing Robot by Devi Willieam Anggara, Mohd Shafry Mohd Rahim, Riyadh Zulkifli, Abdul Rashid Husain, Riyanto, Mazleenda Mazni, Izni Syahrizal Ibrahim, Suhono Harso Supangkat

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Numerical study of eddy current by Finite Element Method for cracks detection in structures by S. Harzallah, M. Chabaat, K. Chabane

“…In this paper, we try to use the finite element method of 2-D axisymmetry to solve problems in eddy current testing problems where the main idea is detecting crack's shape using the NDT-EC. Results are given for a simple eddy current problem using the finite element method as a tool to control cracks and defects in materials and eventually, to study their propagation as well as their shape classification. …”
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Wind Turbine Surface Crack Detection Based on YOLOv5l-GCB by Feng Hu, Xiaohui Leng, Chao Ma, Guoming Sun, Dehong Wang, Duanxuan Liu, Zixuan Zhang

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