Predicting Heavy Metal Concentrations in Shallow Aquifer Systems Based on Low-Cost Physiochemical Parameters Using Machine Learning Techniques

Monitoring ex-situ water parameters, namely heavy metals, needs time and laboratory work for water sampling and analytical processes, which can retard the response to ongoing pollution events. Previous studies have successfully applied fast modeling techniques such as artificial intelligence algorit...

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Detalles Bibliográficos
Autores principales: Huynh, Thi-Minh-Trang, Ni, Chuen-Fa, Su, Yu-Sheng, Nguyen, Vo-Chau-Ngan, Lee, I-Hsien, Lin, Chi-Ping, Nguyen, Hoang-Hiep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566676/
https://www.ncbi.nlm.nih.gov/pubmed/36231480
http://dx.doi.org/10.3390/ijerph191912180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566676/
https://www.ncbi.nlm.nih.gov/pubmed/36231480
http://dx.doi.org/10.3390/ijerph191912180

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