Title
Domain adaptive subspace transfer model for sensor drift compensation in biologically inspired electronic nose
Abstract
•A domain adaptive subspace transfer model is developed for sensor drift compensation.•A two-stage iterative optimization algorithm is devised to solve the model.•Experiments on gas sensor datasets verify the promising performance of the model.
Year
DOI
Venue
2022
10.1016/j.eswa.2022.118237
Expert Systems with Applications
Keywords
DocType
Volume
Biologically inspired electronic nose,Gas sensing,Sensor drift,Domain adaptation,Odor recognition
Journal
208
ISSN
Citations 
PageRank 
0957-4174
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Tan Guo151.81
Xiao-heng Tan21111.05
Liu Yang320.70
Zhifang Liang410.69
Bob Zhang500.34
Lei Zhang616326543.99