Fast and intelligent detection of concrete cracks based on sound signals and convolutional neural network by Chunlei Ge, Yue Qin, Yue Qin, Kaizhong Xie, Zubiao Lu

“…IntroductionThe traditional crack detection method usually requires a tedious process of sensor installation and removal, which seriously affects the efficiency of concrete structure management and maintenance.MethodsFor this reason, this paper develops a fast concrete crack detection method based on percussion with an improved convolutional neural network (CNN). …”
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ZoomHead: A Flexible and Lightweight Detection Head Structure Design for Slender Cracks by Hua Li, Fan Yang, Junzhou Huo, Qiang Gao, Shusen Deng, Chang Guo

Subjects: “…metal surface crack…”
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ResNet-based image processing approach for precise detection of cracks in photovoltaic panels by Montaser Abdelsattar, Ahmed AbdelMoety, Ahmed Emad-Eldeen

Subjects: “…Crack detection…”
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Building construction crack detection with BCCD YOLO enhanced feature fusion and attention mechanisms by Wenhao Ren, Zuowei Zhong

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Laser Thermography: An Investigation of Test Parameters on Detection and Quantitative Assessment in a Finite Crack by Giuseppe Danilo Addante, Giuseppe Dell’Avvocato, Francesco Bisceglia, Ester D’Accardi, Davide Palumbo, Umberto Galietti

Subjects: “…crack detection…”
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Crack Identification and Flaw Detection Eva-luation of Bolster Hanger Based on Machine Vision by YANG Fan, ZHAO Mengjiao, CHEN Ying, JIANG Xue

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Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

“…Pavement distress is one of the most serious and prevalent diseases in pavement road detection. However, traditional methods for crack detection often suffer from low efficiency and limited accuracy, necessitating improvements in the accuracy of existing crack detection algorithms. …”
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Recognition of Concrete Surface Cracks Based on Improved TransUNet by Xuwei Dong, Yang Liu, Jinpeng Dai

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Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks by Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada

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Dam Crack Instance Segmentation Algorithm Based on Improved YOLOv8 by Shuaisen Ma, Mingyue Xu, Weiwu Feng

Subjects: “…Dam crack detection…”
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Dynamic Simulation of Gear Tooth under Two Crack Affecting Lines by Cui Lingli, Zhai Hao, Zhang Feibin

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Optimizing concrete crack detection an echo state network approach with improved fish migration optimization by Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, Behrooz Eskandarpour

Subjects: “…Concrete crack detection…”
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Enhanced Crack Detection in Composite Plates: Integrating Haar Wavelet Transform with Convolutional Neural Networks by Mehrparvar Marmar, Majak Jüri, Karjust Kristo

“…In order to ensure structural integrity, detecting cracks, as a common structural flaw, is crucial. …”
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A Simplified Gaussian Approach for Asphalt Crack Detection based on Deep Learning and RGB images by W. Darwish, W. Darwish, W. Ahmed, W. Ahmed

“…We propose a workflow to detect cracks using YOLOv9 deep learning algorithm combined with statistical analysis through principal component (PCA) and Gaussian distribution. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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Enhancing crack detection in railway tracks through AI-optimized ultrasonic guided wave modes by Jianjun Liu, Huan Luo, Han Hu, Jian Li

“…The utilization of ultrasonic guided wave technology for detecting cracks in railway tracks involves analyzing echo signals produced by the interaction of cracks with guided wave modes to achieve precise crack localization, which is extremely important in a real-time railway crack robotic detection system. …”
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GSBYOLO: A lightweight Multi-Scale fusion network for road crack detection in complex environments by Yuhao Wang, Heran Zhu, Yirong Wang, Jianping Liu, Jun Xie, Bi Zhao, Siyue Zhao

Subjects: “…Road crack detection…”
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Research on Concrete Crack Detection in Hydropower Station Burial Engineering Based on Quantum Particle Technology by Yuanjiang Ma, Jun Fu, Qingsong Zhang, Xiaobing Liu, Bingxu Chen, Gang Yan, Hua Shi

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Using video detection of snow surface movements to estimate weak layer crack propagation speeds by Ron Simenhois, Karl W. Birkeland, Johan Gaume, Alec van Herwijnen, Bastian Bergfeld, Bertil Trottet, Ethan Greene

“…Our technique uses changes in frame pixel intensity, allowing us to detect the location of weak layer cracks well before slab fractures appear on the snow surface. …”
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Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks by S. Harzallah, R. Rebhi, M. Chabaat, A. Rabehi

“…A new method for computing fracture mechanics parameters using computational Eddy Current Modelling by Multi-layer Perceptron Neural Networks for detecting surface cracks. The method is based upon an inverse problem using an Arti?…”
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