High-precision coal classification using laser-induced breakdown spectroscopy (LIBS) coupled with the CST-PCA-based ISSA-KELM
Combining laser-induced breakdown spectroscopy (LIBS) with the CST-PCA-based ISSA-KELM algorithm model, which is an effective tool for discriminating coals with different physical properties and chemical compositions.
Authors
- Xiaodong Liang (ORCID: https://orcid.org/0000-0001-9479-0936)
- Junjie Ma (ORCID: https://orcid.org/0000-0003-0429-0888)
- Xiaojian Hao (ORCID: https://orcid.org/0000-0003-0295-701X)
- Heng Zhang (ORCID: https://orcid.org/0000-0002-8964-6646)
- Junjie Chen (ORCID: https://orcid.org/0009-0001-2861-8692)
- Shuaijun Li (ORCID: https://orcid.org/0009-0006-7281-8620)
- Biming Mo
- Hongkai Wei (ORCID: https://orcid.org/0009-0001-3004-3218)
Institutions
- North University of China (CN)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1039/d4ja00249k
- Citations
- 3
- Primary Topic
- Laser-induced spectroscopy and plasma
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Natural Science Foundation of China
- Shanxi University
- Shanxi Provincial Key Research and Development Project