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通过深度学习增强地质技术损害检测:一个卷积神经网络方法.

Thabatta Moreira Alves de Araujo1,2, Carlos André de Mattos Teixeira1, Carlos Renato Lisboa Francês1

  • 1High Performance Network Planning Laboratory, Federal University of Pará, Belém, Pará, Brazil.

PeerJ. Computer science
|September 24, 2024
PubMed
概括

这项研究引入了使用卷积神经网络 (CNN) 的计算机视觉系统,以检测无人机捕获的图像中的斜率故障. 人工智能模型准确地识别了表面缺陷,增强了对自然灾害的预警系统.

关键词:
在美国,CNN是CNN.分类 分类 分类 分类.计算机视觉 计算机视觉 计算机视觉损失损失损失的情况侵蚀 侵蚀 侵蚀 侵蚀 侵蚀地质技术是指地质技术.图像处理 图像处理土地滑坡的发生 土地滑坡的发生自然灾害自然灾害的发生.坡道上的斜坡.

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The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
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