Machine learning using random forest to model heavy metals removal efficiency using a zeolite-embedded sheet in water
BACKGROUND AND OBJECTIVES: Zeolite has been recognized as a potential adsorbent for heavy metals in water. The form of zeolite that is generally available in powder has challenged the use of zeolite in the environment. Embedding powder zeolite in a nonwoven sheet, known as a zeolite-embedded sheet c...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2024-01-01
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| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | https://www.gjesm.net/article_706365_43eab66e69bfab010e2fddd47d3776df.pdf |