PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies

[Image: see text] In this study, we have developed a comprehensive machine learning (ML) framework for long-term groundwater contamination monitoring as the Python package PyLEnM (Python for Long-term Environmental Monitoring). PyLEnM aims to establish the seamless data-to-ML pipeline with various u...

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Detalles Bibliográficos
Autores principales: Meray, Aurelien O., Sturla, Savannah, Siddiquee, Masudur R., Serata, Rebecca, Uhlemann, Sebastian, Gonzalez-Raymat, Hansell, Denham, Miles, Upadhyay, Himanshu, Lagos, Leonel E., Eddy-Dilek, Carol, Wainwright, Haruko M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069689/
https://www.ncbi.nlm.nih.gov/pubmed/35427133
http://dx.doi.org/10.1021/acs.est.1c07440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069689/
https://www.ncbi.nlm.nih.gov/pubmed/35427133
http://dx.doi.org/10.1021/acs.est.1c07440

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