Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
This paper evaluates the performance of parametric and non-parametric classification rules in sensor technology.The growing of sensor technologies, e-nose and e-tongue, has urged engineers to equip themselves with the utmost recent and advanced statistical approaches.As data collected from e-nose an...
Main Authors: | Mahat, Nor Idayu, Zakaria, Ammar, Md Shakaff, Ali Yeon |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/16796/1/2.pdf |
Similar Items
-
Artificial Odour Classification System
by: Mahat, Nor Idayu, et al.
Published: (2018) -
A realization of classification success in multi sensor data fusion
by: Masnan, Maz Jamilah, et al.
Published: (2012) -
The stopping rules for winsorized tree
by: Chee, Keong Ch’ng, et al.
Published: (2017) -
Strategies for non-parametric smoothing of the location model in mixed-variable discriminant analysis
by: Mahat, Nor Idayu, et al.
Published: (2009) -
Validation assessments on resampling method
in imbalanced binary classification for linear discriminant analysis
by: Jamaluddin, Ahmad Hakiim, et al.
Published: (2021)