PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies
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 utility functions,...
Main Authors: | 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 |
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Other Authors: | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering |
Format: | Article |
Language: | English |
Published: |
American Chemical Society (ACS)
2023
|
Online Access: | https://hdl.handle.net/1721.1/147625 |
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