Feature selection and analysis on correlated gas sensor data with recursive feature elimination
Support vector machine recursive feature elimination (SVM-RFE) is a powerful feature
selection algorithm. However, when the candidate feature set contains highly correlated …
selection algorithm. However, when the candidate feature set contains highly correlated …
Design of a breath analysis system for diabetes screening and blood glucose level prediction
It has been reported that concentrations of several biomarkers in diabetics' breath show
significant difference from those in healthy people's breath. Concentrations of some …
significant difference from those in healthy people's breath. Concentrations of some …
Calibration transfer and drift compensation of e-noses via coupled task learning
The problems of instrumental variation and sensor drift are receiving increasing concerns in
the field of electronic noses. Because the two problems can be uniformly viewed as a …
the field of electronic noses. Because the two problems can be uniformly viewed as a …
A single gas sensor assisted by machine learning algorithms for breath-based detection of COPD: A pilot study
Chronic obstructive pulmonary disease (COPD) is a widespread respiratory disorder with a
high mortality rate. Current diagnostic methods have limitations, necessitating innovative …
high mortality rate. Current diagnostic methods have limitations, necessitating innovative …
Breakthrough in CO2 Measurement With a Chamberless NDIR Optical Gas Sensor
CO2 measurement using the nondispersive infrared (NDIR) gas sensing method is
conventionally performed using a gas chamber as the main part of the sensor. In this paper …
conventionally performed using a gas chamber as the main part of the sensor. In this paper …
Zinc oxide-based direct thermoelectric gas sensor for the detection of volatile organic compounds in air
Using thermoelectricity as a platform for sensor design and fabrication commercially and
historically precedes its power generation aspect, but recent advancements in science and …
historically precedes its power generation aspect, but recent advancements in science and …
Application of a low-cost electronic nose to detect of forest tree pathogens: fusarium oxysporum and phytophthora plurivora
P Borowik, R Tarakowski, M Tkaczyk, S Ślusarski… - IEEE …, 2022 - ieeexplore.ieee.org
The presence of forest tree pathogens may lead to substantial problems and their early
detection during seed storage or in nurseries may be critical for the choice of appropriate …
detection during seed storage or in nurseries may be critical for the choice of appropriate …
A linear-quadratic model for the quantification of a mixture of two diluted gases with a single metal oxide sensor
S Madrolle, P Grangeat, C Jutten - Sensors, 2018 - mdpi.com
The aim of our work is to quantify two gases (acetone and ethanol) diluted in an air buffer
using only a single metal oxide (MOX) sensor. We took advantage of the low selectivity of …
using only a single metal oxide (MOX) sensor. We took advantage of the low selectivity of …
Analysis of Wheat Grain Infection by Fusarium Mycotoxin-Producing Fungi Using an Electronic Nose, GC-MS, and qPCR
Fusarium graminearum and F. culmorum are considered some of the most dangerous
pathogens of plant diseases. They are also considerably dangerous to humans as they …
pathogens of plant diseases. They are also considerably dangerous to humans as they …
Growing continuous zinc oxide layers with reproducible nanostructures on the seeded alumina substrates using spray pyrolysis
F Hossein-Babaei, M Akbari-Saatlu - Ceramics International, 2020 - Elsevier
The growth of zinc oxide thin films with controlled nanostructures on the heat resistant
dielectric substrates is important for the fabrication of gas sensors, transparent electric …
dielectric substrates is important for the fabrication of gas sensors, transparent electric …