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Updated: Jan 29, 2026

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在使用SMOTE增强机器学习框架的电子鼻子系统中增强气体分类

Minqiang Li1, Chenxi Wu2, Zhiyang Wang3

  • 1School of Electronic Engineering, Chengdu Technological University, Chengdu 610031, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

本研究引入了一种机器学习框架,以提高电子鼻子系统中的气体识别精度. 综合方法提高了环境监测和智能气体传感应用的识别率.

关键词:
在SMOTE中使用.电子鼻子系统 电子鼻子系统功能提取 特性提取气体传感器阵列是一组气体传感器阵列.机器学习是机器学习.

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