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Updated: Feb 10, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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基于CCD和DE-XRT图像融合的智能煤电频段分类方法

Ying Jia1,2,3,4, Baoshan Li5, Yongxing Du5

  • 1School of Mining and Coal, Inner Mongolia University of Science & Technology, No.7 Arding Street, Kundulun District, Baotou 014010, China.

ACS omega
|February 9, 2026
PubMed
概括

这项研究引入了一种新的智能煤管分类方法,通过融合工业电荷合装置 (CCD) 和双能X射线传输 (DE-XRT) 图像. 融合方法显著提高了分类准确性和效率,实现了100%的识别.

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