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International Journal of Coal Preparation and Utilization Volume 43, 2023 - Issue 8
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Research Article

Multiple factors influence coal and gangue image recognition method and experimental research based on deep learning

Man Lia School of Mechanical Engineering, Xi’ an University of Science and Technology, Xi’ an, PR. China;b Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring, Xi’ an, PR. ChinaView further author information
,
Xianli Hea School of Mechanical Engineering, Xi’ an University of Science and Technology, Xi’ an, PR. ChinaCorrespondence[email protected]
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,
Yinxue Yuana School of Mechanical Engineering, Xi’ an University of Science and Technology, Xi’ an, PR. ChinaView further author information
&
Maolin Yanga School of Mechanical Engineering, Xi’ an University of Science and Technology, Xi’ an, PR. ChinaView further author information
Pages 1411-1427 | Received 26 May 2022, Accepted 18 Aug 2022, Published online: 05 Sep 2022

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Tao Liu, Juanli Li, Rui Xia, Xuewen Wang & Bo Li. (2023) Experimental analysis of coal gangue identification using visible-near infrared spectroscopy under different working conditions with local and global model. International Journal of Coal Preparation and Utilization 0:0, pages 1-22.
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Articles from other publishers (1)

Zhenguan Cao, Liao Fang, Zhuoqin Li & Jinbiao Li. (2023) Lightweight Target Detection for Coal and Gangue Based on Improved Yolov5s. Processes 11:4, pages 1268.
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