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Updated: Jun 16, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Published on: January 5, 2024

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在复合材料中使用特拉赫兹光谱成像与ResNet18-SVM方法识别缺陷

Zhongmin Wang1, Jiaojie Chen1, Yilong Xin1,2

  • 1Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250100, China.

Materials (Basel, Switzerland)
|June 13, 2025
PubMed
概括

这项研究引入了一种新的太赫兹时域光谱学 (THz-TDS) 方法,用于检测多层复合材料的内部缺陷. 该ResNet18-SVM方法实现了高准确性,使得准确的缺陷定位和深度解决无破坏性评估.

关键词:
在ResNet18中使用ResNet18在SVM中,SVM是SVM.深度学习是一种深度学习.非破坏性测试是指非破坏性测试.太赫兹波浪是一种特拉赫兹波浪.

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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