Overcoming the limits of cross-sensitivity: pattern recognition methods for chemiresistive gas sensor array

H Mei, J Peng, T Wang, T Zhou, H Zhao, T Zhang… - Nano-micro letters, 2024 - Springer
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

An effective method fusing electronic nose and fluorescence hyperspectral imaging for the detection of pork freshness

J Cheng, J Sun, L Shi, C Dai - Food Bioscience, 2024 - Elsevier
Multi-sensor data fusion aims to integrate information about an object from various sources
to make more effective decisions. In this study, the feasibility of combining fluorescence …

Thermal desorption-photoionization ion mobility-electronic nose (TD-PIM-Nose) with distance-probability joint decision SVM algorithm: A novel system for Daqu Grade …

S Cheng, Q Han, Y Qin, L Chen, Y Mao, J Yang… - Food Chemistry, 2025 - Elsevier
Electronic nose is a bionic technology that uses sensor arrays and pattern recognition
algorithms to mimic the human olfactory system. This study developed a thermal desorption …

An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms

Y Yang, X Wang, L Zhao, Z Li, Y Sun - Physica Scripta, 2024 - iopscience.iop.org
The chemical industry generates a broad spectrum of hazardous gases, presenting
significant challenges for conventional detection methods due to their diverse chemical …

Identification of Adulterants in Chili Powder Based on the Histogram of Oriented Gradients Algorithm by Using an Electronic Nose

P Peng, F Ba, Y Zhang, F Jiang, Y Zhao - Applied Sciences, 2024 - mdpi.com
Driven by economic interests, adding adulterations in chili powder is a problem which
threatens people's health. Thanks to its nondestructive, rapid, and portable advantages …

Electronic nose combines an effective deep learning method to identify the rice quality under different storage conditions and storage periods

X Tang, N Wang - Sensors and Actuators A: Physical, 2024 - Elsevier
Temperature is a key factor affecting the rice quality during storage, and an effective method
to detect the rice quality during storage period is crucial. Gas information is an intuitive …

The Classification of VOCs Based on Sensor Images Using a Lightweight Neural Network for Lung Cancer Diagnosis

C Zha, L Li, F Zhu, Y Zhao - Sensors, 2024 - mdpi.com
The application of artificial intelligence to point-of-care testing (POCT) disease detection has
become a hot research field, in which breath detection, which detects the patient's exhaled …

An effective adaptive deep learning method combined with a hyperspectral system to identify the soybeans quality from different regions

D Xiao, L Zhang - Sensors and Actuators A: Physical, 2024 - Elsevier
An effective method that influences classification performance is the extraction of spectral
information features. In this study, Global Spatial Spectral Attention Network (GSSA-Net) is …

An Adaptive Deep Learning Method Combined with an Electronic Nose System for Quality Identification of Soybeans Storage Period

D Xiao, T Liu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
With the extension of storage period, the nutritional components of soybeans are lost, and
the quality loss is severe, but the appearance difference is not obvious. Low-quality …

WVCTS-Net: Word vector convolutional time series network based on E-nose for origin classification of pickled cabbage

L Wu, C He, W Zhou, J Zhang, L Chi… - Available at SSRN … - papers.ssrn.com
Pickled cabbage is an important plant food on the human table that is rich in lactic acid
bacteria that aid in digestion. However, different flavors are produced at different origins …