Cargando…
Least Squares Neural Network-Based Wireless E-Nose System Using an SnO(2) Sensor Array
Over the last few decades, the development of the electronic nose (E-nose) for detection and quantification of dangerous and odorless gases, such as methane (CH(4)) and carbon monoxide (CO), using an array of SnO(2) gas sensors has attracted considerable attention. This paper addresses sensor cross...
Autores principales: | Shahid, Areej, Choi, Jong-Hyeok, Rana, Abu ul Hassan Sarwar, Kim, Hyun-Seok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982671/ https://www.ncbi.nlm.nih.gov/pubmed/29734783 http://dx.doi.org/10.3390/s18051446 |
Ejemplares similares
-
A Wireless Electronic Nose System Using a Fe(2)O(3) Gas Sensing Array and Least Squares Support Vector Regression
por: Song, Kai, et al.
Publicado: (2011) -
Soft, Wirelessly Powered Humidity Sensor Based on SnO(2) Nanowires for Wireless/Wearable Sensor Application
por: Shin, Gunchul
Publicado: (2020) -
Robust Least-SquareLocalization Based on Relative Angular Matrix in Wireless Sensor Networks
por: Tian, Yuyang, et al.
Publicado: (2019) -
Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks
por: Kang, SeYoung, et al.
Publicado: (2020) -
Least Square Regression Method for Estimating Gas Concentration in an Electronic Nose System
por: Khalaf, Walaa, et al.
Publicado: (2009)