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Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms
This work aims at presenting an advanced simulation approach for a novel rhamnolipidic-based bioflotation process to remove chromium from wastewater. For this purpose, the significance of key influential operating variables including initial solution pH (2, 4, 6, 8, 10 and 12), rhamnolipid to chromi...
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| Wydane w: | Materials (Basel) |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8199015/ https://ncbi.nlm.nih.gov/pubmed/34072118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma14112880 |
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