0 Downloads0 Views0% Trend

Classification of Plastic Materials using a Microwave Negative-Order-Resonance Sensor and Support-Vector-Machine

Covarrubias-Martínez, D., Martínez-Rodríguez, O. A., Lobato-Morales, H., Medina-Monroy, J. L.
Summary

Abstract

A method for plastic material classification using a negative-order-resonance (NOR) sensor operating at the 2.5 GHz band and support-vector-machine (SVM) for pattern recognition is presented. The prop...

Description

Advisor

Journal Title

Volume Title

Sponsorship

Citation

D. Covarrubias-Martínez, O. A. Martínez-Rodríguez, H. Lobato-Morales and J. L. Medina-Monroy, "Classification of Plastic Materials using a Microwave Negative-Order-Resonance Sensor and Support-Vector-Machine," 2021 96th ARFTG Microwave Measurement Conference (ARFTG), San Diego, CA, USA, 2021, pp. 1-4, doi: 10.1109/ARFTG49670.2021.9425184.

Endorsement

Review

Supplemented By

Referenced By

Keywords: Microwave measuremenTUncertaintySupport vector machine classificationRLC circuitsMicrowave theory and techniquesMicrowave circuitsPlastics industry

DOI

https://doi.org/10.1109/ARFTG49670.2021.9425184

URI

https://repositorio.cetys.mx/handle/60000/1753

Publisher

Journal ISSN

Creative Commons license

Atribución-NoComercial-CompartirIgual 2.5 México
Except where otherwised noted, this item's license is described as Atribución-NoComercial-CompartirIgual 2.5 México
Usage statistics
Ene 26Feb 26Mar 26Abr 26May 26Jun 26Jul 26
Full item page
Related publications
Thumbnail Image
Adaptive resource allocation with job runtime uncertainty
2017-10 - Ramirez Velarde, Raúl
Matches by keyword: Microwave measuremenT
Other author title(s)
No author records