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

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,...

Full description

Bibliographic Details
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
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

Internet

https://hdl.handle.net/1721.1/147625

Similar Items