Abstract:
This paper presents the application of the backward
feature elimination technique on an electronic nose (E-nose)
to aid the rapid detection of pathogens using Volatile Organic
Compounds (VOCs). The timely identification of pathogens is
vital to facilitate control of diseases. E-noses are widely used
for the identification of VOCs as a non-invasive tool. However,
the identification of VOC signatures associated with microbial
pathogens using E-nose is currently inefficient for the timely
identification of pathogens. Therefore, we proposed an E-nose
system integrating the backward feature elimination. Comprehensive
experiments of backward feature elimination showed that
they improve the classification accuracy.
