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相关概念视频

Corrosion02:49

Corrosion

23.9K
The degradation of metals due to natural electrochemical processes is known as corrosion. Rust formation on iron, tarnishing of silver, and the blue-green patina that develops on copper are examples of corrosion. Corrosion involves the oxidation of metals. Sometimes it is protective, such as the oxidation of copper or aluminum, wherein a protective layer of metal oxide or its derivatives forms on the surface, protecting the underlying metal from further oxidation. In other cases, corrosion is...
23.9K
Corrosion of Reinforcement01:27

Corrosion of Reinforcement

166
The corrosion of steel reinforcement within concrete is a process influenced by the material's inherent properties and external factors. The high pH level of around 13, provided by calcium hydroxide present in concrete, initially protects the steel reinforcement by promoting the formation of a passive iron oxide layer on its surface.
However, over time and under certain conditions like carbonation, chloride ingress, and cracking this protective state can be compromised. Steel has areas with...
166

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相关实验视频

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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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基于EfficientNetV2的腐蚀图像分类方法

Ziheng Zhao1, Elmi Bin Abu Bakar1, Norizham Bin Abdul Razak1

  • 1School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia, 14300, Nibong Tebal, Pulau Pinang, Malaysia.

Heliyon
|September 17, 2024
PubMed
概括

这项研究引入了一个CNN模型,使用转移学习来检测材料腐蚀,实现高精度. 该模型有效地识别了各种材料中的腐蚀,提高了关键基础设施的安全评估.

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机科学 计算机科学
  • 工程 工程师 工程师 工程师

背景情况:

  • 腐蚀是关键基础设施材料故障的重要原因之一,对公共安全和财产构成风险.
  • 在各种材料和设施中有效识别腐蚀对于主动维护和安全至关重要.
  • 目前的方法可能缺乏全面腐蚀监测所需的精度和可扩展性.

研究的目的:

  • 开发和评估一个卷积神经网络 (CNN) 分类模型,用于准确的材料腐蚀检测.
  • 通过EfficientNetV2架构利用转移学习和微调技术来提高性能.
  • 研究不同聚合层和微调策略对腐蚀分类准确性的影响.

主要方法:

  • 利用腐蚀二元分类数据集与数据增强来提高稳定性.
  • 员工通过微调EfficientNetV2模型的各种尺寸转移学习.
  • 使用诸如混矩阵,ROC曲线,精度,回忆和F1分数等指标评估模型性能.
  • 比较了全球平均聚合与全球最大聚合层的有效性.

主要成果:

  • 全球平均聚合层与全球最大聚合层相比,表现优越.
  • EfficientNetV2B0实现了最高的精度 (0.9176),精度调整率为20%.
关键词:
准确度 准确度 准确度 准确度 准确度在美国,CNN是CNN.腐蚀是一种腐蚀.有效的NetV2 有效的NetV2精细调整 微调 精细调整图像的分类图像的分类.

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  • 在15%的微调率下,EfficientNetV2S实现了0.97的高ROC-AUC值.
  • 精度,回忆和F1-Score值在表现最好的模型中始终超过0.9.

    • 结论:

    • 开发的CNN模型有效地检测和分类高精度的材料腐蚀.
    • 使用EfficientNetV2转移学习,特别是使用全球平均积分,为腐蚀识别提供了一个有前途的方法.
    • 这些发现为开发使用EfficientNetV2.2的先进腐蚀分类系统提供了宝贵的参考.