Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms.
Creators
- 1. Duy Tan University
- 2. Korea University
- 3. University of Da Nang
- 4. Chitkara University
- 5. Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Viet Nam.
- 6. Vietnam National University, Ho Chi Minh City
- 7. Institute of Chemistry and Materials, Nghia Do, Cau Giay, Hanoi, Viet Nam.
- 8. UNESCO-IHE Institute for Water Education
- 9. University of Technology, Sydney
- 10. Kyonggi University
Publication Details
Journal article
Journal:
Journal of environmental management
Publisher:
Elsevier BV
ISSN:
10958630
Volume:
301
Pages:
113868
Persistent Identifiers
Funding
Financial Support
Kyonggi University
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References
Wang . Prediction of anaerobic digestion performance and identification of criti...
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Zhu . The application of machine learning methods for prediction of metal sorpti...
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006-134-559-614-110
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Foladori . Recirculation or artificial aeration in vertical flow constructed wet...
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Akratos . Total nitrogen and ammonia removal prediction in horizontal subsurface...
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Showing first 5 of 57 references.
Scholarly Citations
MeSH Terms
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Chemical Substances
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