Abstract: Detecting cracks is a crucial task to ensure the safety of engineering. However, the complexity of the crack background and the highly uneven pixel ratio between the crack and the background ...
Abstract: Crack detection, as one of the structural health monitoring tasks, plays a crucial role in ensuring the reliability of transportation infrastructure. And the convenience of Unmanned Aerial ...
Abstract: The growth of Python adoption across diverse domains has led to increasingly complex codebases, presenting challenges in maintaining code quality. While numerous tools attempt to address ...
Abstract: Road crack detection occupies a very important position in highway maintenance. With the development of deep learning, target detection has come into the public's view, facing the road crack ...
Abstract: Drones for road crack detection provide a real-time Cyber-Physical System (CPS) solution, improving road surface assessment for efficient highway maintenance. CPS integrates computational ...
Abstract: To improve the detection accuracy and computational efficiency of pavement crack identification, this study proposes an improved YOLOv8 framework. The model combines the lightweight Ghost ...
Abstract: With its excellent surface quality and good mechanical properties, steel has become an indispensable and important material in the machinery manufacturing industry. However, in the process ...
Abstract: The generation and propagation of blade crack directly affect the stable operation of compressor. To quickly and accurately detect crack, an incremental learning (IL)-based quantitative ...
Abstract: Cracks identification on pavement surfaces is an important and prominent function in public infrastructure management and sustainability. Differing crack widths, complex geometries, and ...
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