Review–Modern Data Analysis in Gas Sensors

MSI Sagar, NR Allison, HM Jalajamony… - Journal of The …, 2022 - iopscience.iop.org
Abstract Development in the field of gas sensors has witnessed exponential growth with
multitude of applications. The diverse applications have led to unexpected challenges …

Subspace alignment based on an extreme learning machine for electronic nose drift compensation

J Yan, F Chen, T Liu, Y Zhang, X Peng, D Yi… - Knowledge-Based …, 2022 - Elsevier
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 …

FEDA: A nonlinear subspace projection approach for electronic nose data classification

X Chen, L Yi, R Liu - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
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 …

A sparse reconstruction domain transfer method for interference suppression in artificial olfactory system

Z Liang, Q Xue, F Tian, C Xu, C Wang… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
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 …

Chemical selection for the calibration of general-purpose electronic noses based on Silhouette coefficients

Z Wu, F Tian, JA Covington, H Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …