Feasibility of classification of drainage and river water quality using machine learning methods based on multidimensional data from a gas sensor array.

Journal: Annals of agricultural and environmental medicine : AAEM

PMID: 39743710

Abstract

OBJECTIVE: The aim of the study is to verify whether the electronic nose system - an array of 17 gas sensors with a signal analysis system - is a useful tool for the classification and preliminary assessment of the quality of drainage water.

Authors

Magdalena Piłat-Rożek

Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Grzegorz Łagód

Faculty of Environmental Engineering, Lublin University of Technology, 20-618 Lublin, Poland.

Keywords

Electronic Nose Environmental Monitoring Feasibility Studies Gases Machine Learning Neural Networks, Computer Poland Rivers Water Quality

External Resources

View on PubMed Access via DOI PubMed (39743710)

Feasibility of classification of drainage and river water quality using machine learning methods based on multidimensional data from a gas sensor array.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals