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Updated: Jun 16, 2025

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
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卡什米尔和羊毛纤维的近红外光谱识别方法基于优化的波长选择算法

Yaolin Zhu1, Long Chen1, Xin Chen1

  • 1School of Electronics and Information, Xi'an Polytechnic University, Xi'an, 710000, China.

Heliyon
|August 16, 2024
PubMed
概括

这项研究引入了一种新的算法,用于使用近红外光谱学来区分喀什米尔和羊毛纤维. 该方法通过选择最佳波长来提高准确性,达到97.3%的识别率.

关键词:
喀什米尔和羊毛的使用.分组遗传算法 分组遗传算法近红外光谱学近红外光谱学在PLS-DA中.波长的选择波长的选择.

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