Automatic classification and permittivity estimation of glycerin solutions using a dielectric resonator sensor and Machine Learning techniques | IEEE Conference Publication | IEEE Xplore

Automatic classification and permittivity estimation of glycerin solutions using a dielectric resonator sensor and Machine Learning techniques


Abstract:

This paper presents the application of a dielectric resonator sensor to characterize glycerin solutions. Air and nine different concentrations were measured within a rela...Show More

Abstract:

This paper presents the application of a dielectric resonator sensor to characterize glycerin solutions. Air and nine different concentrations were measured within a relative permittivity range from 1 to 78.3. Principal Component Analysis (PCA) and Support Vector Machine (SVM) were used to perform automatic classification with an 100% accuracy and the regression of both concentration and permittivity with a RMSE of 0.34% and 0.287 respectively.
Date of Conference: 22-25 May 2023
Date Added to IEEE Xplore: 13 July 2023
ISBN Information:

ISSN Information:

Conference Location: Kuala Lumpur, Malaysia

References

References is not available for this document.