A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning

A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning

Methanol, commonly used to cut costs in the production of counterfeit alcohol, is extremely harmful to human health, potentially leading to severe outcomes, including death. In this study, an electronic nose system was designed using 11 inexpensive gas sensors to detect the proportion of methanol in...

Full description

Bibliographic Details
Main Author: Bilge Han Tozlu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Chemosensors
Subjects:
feature selection optimization
electronic nose
methanol detection
voting classifier
extra trees classifier
Online Access:https://www.mdpi.com/2227-9040/12/11/225

Internet

https://www.mdpi.com/2227-9040/12/11/225

Similar Items