Prediction and analysis of dominant factors influencing moisture content during vacuum screening based on machine learning
Author:
Funder
the Science Research Program of Hubei Provincial Department of Educatio
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69046-7.pdf
Reference47 articles.
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2. Zhu, G. J. et al. Application of flocculant in vacuum filtration and dehydration of gold mine tailings. J. Met. Mine 4, 45–52 (2021).
3. Wang, D. et al. Effects of mineral surface silanization and bitumen coating on its filtration from an aqueous slurry. J. Fuel 325, 124921 (2022).
4. Rögener, F. Filtration technology for beer and beer yeast treatment. IOP Conf. Ser. Earth Environ. Sci. 941(1), 012016 (2021).
5. Li, B. et al. Predicting the performance of pressure filtration processes by coupling computational fluid dynamics and discrete element methods. J. Chem. Eng. Sci. 208, 115162 (2019).
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