Development of a Soft Sensor Using Machine Learning Algorithms for Predicting the Water Quality of an Onsite Wastewater Treatment System

[Image: see text] Developing advanced onsite wastewater treatment systems (OWTS) requires accurate and consistent water quality monitoring to evaluate treatment efficiency and ensure regulatory compliance. However, off-line parameters such as chemical oxygen demand (COD), total suspended solids (TSS...

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Detalles Bibliográficos
Autores principales: Shyu, Hsiang-Yang, Castro, Cynthia J., Bair, Robert A., Lu, Qing, Yeh, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515708/
https://www.ncbi.nlm.nih.gov/pubmed/37743952
http://dx.doi.org/10.1021/acsenvironau.2c00072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515708/
https://www.ncbi.nlm.nih.gov/pubmed/37743952
http://dx.doi.org/10.1021/acsenvironau.2c00072

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