Abstract Development in the field of gas sensors has witnessed exponential growth with
multitude of applications. The diverse applications have led to unexpected challenges …

The drift caused by gas sensors has always been a bottleneck in the development of
electronic nose (E-nose) systems. Traditional drift compensation methods directly correct the …

Sensor drift/shift is a challenging and high-profile issue in the field of sensors and
measurements. Because of the time variability and unpredictable properties of drift/shift …

Sensor drift has been recognized as the root cause of decreased effectiveness in the gas
sensor community. To date, most drift compensation strategies have focused on …

This article presents a novel discriminative subspace-learning-based unsupervised domain
adaptation (DA) method for the gas sensor drift problem. Many existing subspace learning …

The electronic nose (e-nose) is susceptible to sensor drift and instrumental variation, which
may result in distribution discrepancy in data collected, hence leading to classification …

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

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 …

In sensor-related subjects, sensor drift is an urgent and challenging problem because of its
negative impact on the recognition performance and long-term detection of sensors. Earlier …

Sensor drift is often application-dependent and results in a reduction in the overall long-term
performance of electronic noses. Even with drift compensation it is remains challenging to …