Cargando…
Advocating the Use of Bayesian Network in Analyzing the Modes of Occurrence of Elements in Coal
[Image: see text] Modes of occurrence of elements in coal are important because they can be used not only to understand the origin of inorganic components in coal but also to determine the impact on the environment and human health and the deposition process of coal seams as well. Statistical analys...
Autores principales: | Xu, Na, Li, Qiang, Zhu, Wei, Li, Qing, Finkelman, Robert B., Engle, Mark A., Wang, Ru, Wang, Zhiwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600927/ https://www.ncbi.nlm.nih.gov/pubmed/37901523 http://dx.doi.org/10.1021/acsomega.3c04109 |
Ejemplares similares
-
Average Linkage Hierarchical Clustering Algorithm
for Determining the Relationships between Elements in Coal
por: Xu, Na, et al.
Publicado: (2021) -
Mapping and Prediction of Coal Workers’ Pneumoconiosis with Bioavailable Iron Content in the Bituminous Coals
por: Huang, Xi, et al.
Publicado: (2005) -
Sequential solvent extraction for the modes of occurrence of selenium in coals of different ranks from the Huaibei Coalfield, China
por: Zhang, Ying, et al.
Publicado: (2007) -
A Refinement of Nitrogen Isotope Analysis of Coal
Using Elemental Analyzer/Isotope Ratio Mass Spectrometry and the Carbon
and Nitrogen Isotope Compositions of Coals Imported in China
por: Feng, Lianjun, et al.
Publicado: (2020) -
Human reliability assessment of intelligent coal mine hoist system based on Bayesian network
por: Sun, Linhui, et al.
Publicado: (2022)