Domain adaptive subspace transfer model for sensor drift compensation in biologically inspired electronic nose

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Biologically inspired electronic nose,Gas sensing,Sensor drift,Domain adaptation,Odor recognition

论文评审过程：Received 1 June 2021, Revised 17 July 2022, Accepted 17 July 2022, Available online 25 July 2022, Version of Record 1 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118237