Hybrid Machine Learning Models for Estimating Petroleum Hydrocarbon Concentration in Groundwater
Abstract
Jupyter notebook containing scripts for training and evaluating machine learning models including long short-term memory network and classical regression models for continuous monitoring of petroleum hydrocarbons in groundwater. The design of a hybrid Kalman filter was also included, as well as the Jupyter notebooks for visualizing the results.
Publication details
- Journal / source
- 4TU.ResearchData
- Publication date
- 16 April 2026
- Language
- EN
- Document type
- Dataset