Open-set adversarial domain match for electronic nose drift compensation and unknown gas recognition-Reference-Cited by-同舟云学术

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Open-set adversarial domain match for electronic nose drift compensation and unknown gas recognition

Published:2024-09 Issue: Volume:250 Page:123757
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yao Youbin,Chen Bin,Liu Chuanjun,Feng Changhao,Gao Xuliang,Gu Yun

Funder

National Natural Science Foundation of China

Science and Technology Major Project of Inner Mongolia

Publisher

Elsevier BV

Reference46 articles.

1. Multi-property Tensor-Based Learning for Abnormal Event Detection;Bakalos,2022

2. Deep Bayesian Self-Training;De Sousa Ribeiro;Neural Computing and Applications,2020

3. A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments;Fan;Sensors and Actuators B: Chemical,2018

4. Ensemble Learning-Based Approach for Gas Detection Using an Electronic Nose in Robotic Applications;Fan;Frontiers in Chemistry,2022

5. Open Set Domain Adaptation: Theoretical Bound and Algorithm;Fang;IEEE Transactions on Neural Networks and Learning Systems,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks;2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN);2024-05-12

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