Advanced algorithms for low dimensional metal oxides-based electronic nose application: A review
X Wang, Y Zhou, Z Zhao, X Feng, Z Wang, M Jiao - Crystals, 2023 - mdpi.com
Low-dimensional metal oxides-based electronic noses have been applied in various fields,
such as food quality, environmental assessment, coal mine risk prediction, and disease …
such as food quality, environmental assessment, coal mine risk prediction, and disease …
Prediction of CO concentration in different conditions based on Gaussian-TCN
S Ni, P Jia, Y Xu, L Zeng, X Li, M Xu - Sensors and Actuators B: Chemical, 2023 - Elsevier
Accurate prediction of gas concentrations can help people to know if there is hazardous gas
in the environment, thus protecting people's health. The electronic nose (E-nose) …
in the environment, thus protecting people's health. The electronic nose (E-nose) …
Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO2 Sensor Module
Q Wang, H Li, J Chu, J Pan, A Yang, S Xiao… - ACS …, 2023 - ACS Publications
An air-insulated power equipment adopts air as the insulating medium and is widely
implemented in power systems. When discharge faults occur, the air produces …
implemented in power systems. When discharge faults occur, the air produces …
Stacked ResNet-LSTM and CORAL model for multi-site air quality prediction
As the global economy is booming, and the industrialization and urbanization are being
expedited, particulate matter 2.5 (PM2. 5) turns out to be a major air pollutant jeopardizing …
expedited, particulate matter 2.5 (PM2. 5) turns out to be a major air pollutant jeopardizing …
Application of neural network based regression model to gas concentration analysis of TiO2 nanotube-type gas sensors
K Iwata, H Abe, T Ma, D Tadaki, A Hirano-Iwata… - Sensors and Actuators B …, 2022 - Elsevier
We performed a gas analysis of TiO 2 nanotube (NT)-type integrated gas sensors using a
machine learning (ML) algorithm and neural network-based regression. We fabricated a TiO …
machine learning (ML) algorithm and neural network-based regression. We fabricated a TiO …
A deep learning method combined with an electronic nose for gas information identification of soybean from different origins
Z Hui, A Lu - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
In the soybean market, it is a common phenomenon that low-quality soybeans replace high-
quality soybeans. At the same time, due to the influence of the natural growth environment …
quality soybeans. At the same time, due to the influence of the natural growth environment …
Enhancement of array optimization algorithm via information theory for a novel multi-sensor detection system
This article develops a low-cost dual-input multisensor odor detection system relying on
sensor detection technology and the changing characteristics of the odor itself. The finite …
sensor detection technology and the changing characteristics of the odor itself. The finite …
Remote interference discrimination testbed employing AI ensemble algorithms for 6G TDD networks
The Internet-of-Things (IoT) massive access is a significant scenario for sixth-generation
(6G) communications. However, low-power IoT devices easily suffer from remote …
(6G) communications. However, low-power IoT devices easily suffer from remote …
Lightweight neural network for gas identification based on semiconductor sensor
This article proposes a lightweight network called multiscale convolutional neural network
with attention (MCNA), which combines a multiscale deep convolutional network with a self …
with attention (MCNA), which combines a multiscale deep convolutional network with a self …
A residual dense lightweight group convolution neural network for identifying the gas information of different levels of tea
C Yan, A Lu, D Song - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In the tea market, it is common for low-quality tea to cheat consumers by pretending to be
high-quality. This work proposes a fast and nondestructive tea quality detection method …
high-quality. This work proposes a fast and nondestructive tea quality detection method …