E-Nose design and structures from statistical analysis to application in robotic: a compressive review

AJ Moshayedi, AS Khan, Y Shuxin… - … Transactions on AI …, 2023 - publications.eai.eu
Since 1982, the olfactory system of creatures has piqued the interest of academics who seek
to create a comparable system. Despite its mysterious nature, the first stage has been …

Improving performance: A collaborative strategy for the multi-data fusion of electronic nose and hyperspectral to track the quality difference of rice

Y Shi, H Yuan, C Xiong, Q Zhang, S Jia, J Liu… - Sensors and Actuators B …, 2021 - Elsevier
Although multi-sensor system can obtain the comprehensive information of detected object
from different information sources, the direct fusion of multi-data contains a lot of redundant …

High-Efficiency Mono-Cyclopentadienyl Titanium and Rare-Earth Metal Catalysts for the Production of Syndiotactic Polystyrene

B Wen, H Hu, D Kang, C Sang, G Mao, S Xin - Molecules, 2023 - mdpi.com
Syndiotactic polystyrene (SPS) refers to a type of thermoplastic material with phenyl
substituents that are alternately chirally attached on both sides of an aliphatic …

A mixed gas concentration regression prediction method for electronic nose based on two-channel TCN

L Zeng, Y Xu, S Ni, M Xu, P Jia - Sensors and Actuators B: Chemical, 2023 - Elsevier
Based on the current concentration levels of gas components in the air, indoor air quality
may be assessed. Gas information of mixed gas with various concentrations can be …

A fast Pearson graph convolutional network combined with electronic nose to identify the origin of rice

Y Shi, M Liu, A Sun, J Liu, H Men - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The quality of rice produced in different origins is different, and the gas reflects the external
sensory information of rice. Based on the electronic nose (e-nose) instrument, the gas …

A deep learning method combined with electronic nose to identify the rice origin

C Yan, A Lu - Journal of Instrumentation, 2022 - iopscience.iop.org
The rice quality is directly affected by the natural environment in which it is grown. It is
common to pass off poor quality as good quality rice sold in rice markets. Therefore, an …

Origin traceability of rice based on an electronic nose coupled with a feature reduction strategy

Y Shi, X Jia, H Yuan, S Jia, J Liu… - … Science and Technology, 2020 - iopscience.iop.org
Effective information processing technology is one of the keys to improving detection
accuracy. In this study, a feature reduction strategy is proposed for reducing the dimension …

A novel gas recognition algorithm for gas sensor array combining Savitzky–Golay smooth and image conversion route

X Wang, C Qian, Z Zhao, J Li, M Jiao - Chemosensors, 2023 - mdpi.com
In recent years, the application of Deep Neural Networks to gas recognition has been
developing. The classification performance of the Deep Neural Network depends on the …

[HTML][HTML] Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms

Z Pu, M Yang, M Jiao, D Zhao, Y Huo, Z Wang - Batteries, 2024 - mdpi.com
Characteristic gas detection can be an efficient way to predict the degree of thermal runaway
of a lithium battery. In this work, a sensor array consisting of three commercial MOS sensors …

Multi-gas pollutant detection based on sparrow search algorithm optimized ALSTM-FCN

X Kou, X Luo, W Chu, Y Zhang, Y Liu - PloS one, 2024 - journals.plos.org
It is critical to identify and detect hazardous, flammable, explosive, and poisonous gases in
the realms of industrial production and medical diagnostics. To detect and categorize a …