Application of terahertz dielectric constant spectroscopy for discrimination of oxidized coal and unoxidized coal by machine learning algorithms

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Application of terahertz dielectric constant spectroscopy for discrimination of oxidized coal and unoxidized coal by machine learning algorithms

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Application of terahertz dielectric constant spectroscopy for discrimination of oxidized coal and unoxidized coal by machine learning algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of terahertz dielectric constant spectroscopy for discrimination of oxidized coal and unoxidized coal by machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-terahertz-dielectric-constant-spectroscopy-for-discrimination-of-oxidized-coal-and-unoxidized-coal-by-mac
MLA “Application of terahertz dielectric constant spectroscopy for discrimination of oxidized coal and unoxidized coal by machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-terahertz-dielectric-constant-spectroscopy-for-discrimination-of-oxidized-coal-and-unoxidized-coal-by-mac.
BibTeX @misc{4ortxyz_application-of-terahertz-dielectric-constant-spectroscopy-for-discrimination-of-oxidized-coal-and-unoxidized-coal-by-mac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of terahertz dielectric constant spectroscopy for discrimination of oxidized coal and unoxidized coal by machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-terahertz-dielectric-constant-spectroscopy-for-discrimination-of-oxidized-coal-and-unoxidized-coal-by-mac}, note = {Accessed: 2026-05-24}}
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