In recent years, the electronic nose (E-nose) technology has made a great progress in
practical application. However, the interferences, such as the interferences from non-target …

Electronic nose is an electronic olfactory system that simulates the biological olfactory
mechanism, which mainly includes gas sensor, data pre-processing, and pattern …

The gas sensor drift problem arises from the bias of data, which is known as a significant
problem in the artificial olfactory community. Traditionally, hardware calibration methods are …

Sensor drift is a critical issue in the research of Electronic Nose (EN) for industrial cyber
physical systems due to its uncertainty, which deteriorates the sensing performance and …

Domain features and independence maximization are proposed recently for learning the
domain-invariant subspace to handle drift in gas sensors. The proposed domain features …

In this work, two electronic nose (E-nose) prototypes for lung cancer detection via breath
analysis are built. The instrumental variation between them is a critical problem, as it impacts …

The optical electronic nose (e-nose) is drawing more and more attention from the academia
and industry in Internet of Things applications. Since the charge-coupled Device (CCD) …

A medical electronic nose (e-nose) with 31 gas sensors is used for wound infection
detection by analyzing the bacterial metabolites. In practical applications, the prediction …

This paper proposes a way for drift compensation in electronic noses (e-nose) that often
suffers from uncertain and unpredictable sensor drift. Traditional machine learning methods …

In this paper, we propose an odor recognition framework for multiple electronic noses (E-
noses), machine olfaction odor perception systems. Straight to the point, the proposed …