An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority Over-Sampling Technique Algorithms

An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority Over-Sampling Technique Algorithms

This study addresses the challenge of multi-dimensional and small gas sensor data classification using a gelatin–carbon black (CB-GE) composite film sensor, achieving 91.7% accuracy in differentiating gas types (ethanol, acetone, and air). Key techniques include Principal Component Analysis (PCA) fo...

Full description

Saved in:
Bibliographic Details
Main Authors: Xianzhang Zeng, Muhammad Shahzeb, Xin Cheng, Qiang Shen, Hongyang Xiao, Cao Xia, Yuanlin Xia, Yubo Huang, Jingfei Xu, Zhuqing Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Micromachines
Subjects:
machine learning
gas sensor
PCA
SMOTE
KNN
Online Access:https://www.mdpi.com/2072-666X/15/12/1501
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items