Coal and Gangue Classification Based on Laser-Induced Breakdown Spectroscopy and Deep Learning

Author:

Xu Mengyuan1,Mao Yachun1,Yan Zelin2,Zhang Mengqi3,Xiao Dong2ORCID

Affiliation:

1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China

2. School of Information Science and Engineering, Northeastern University, Shenyang 110819, China

3. Heze Vocational College, Heze 274000, China

Funder

National Key Research and Development Program of China

Liaoning Revitalization Talents Program

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Foundation of Science and Technology Department of Liaoning Province

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

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3. Research on light weight intelligent identification method of coal and gangue;Physicochemical Problems of Mineral Processing;2024-04-26

4. Research on an XRF-visNIR soil heavy metal exceedance analysis method based on GAS transformation and PCANet;Journal of Analytical Atomic Spectrometry;2024

5. Identification of Coal, Gangue, and Surrounding Rock Based on LIBS and Deep Learning;IEEE Transactions on Instrumentation and Measurement;2024

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