Recent progress in smart electronic nose technologies enabled with machine learning methods
Machine learning methods enable the electronic nose (E-Nose) for precise odor
identification with both qualitative and quantitative analysis. Advanced machine learning …
identification with both qualitative and quantitative analysis. Advanced machine learning …
Overcoming the limits of cross-sensitivity: pattern recognition methods for chemiresistive gas sensor array
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 …
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing
In exploring pattern recognition for electronic noses via deep neural networks, traditional
networks encounter key challenges, such as low training efficiency, and neglect of spatial …
networks encounter key challenges, such as low training efficiency, and neglect of spatial …
Review on algorithm design in electronic noses: Challenges, status, and trends
Electronic noses, or e-noses, refer to systems powered by chemical gas sensors, signal
processing, and machine learning algorithms for realizing artificial olfaction. They play a …
processing, and machine learning algorithms for realizing artificial olfaction. They play a …
Multi-task convolutional neural network for simultaneous monitoring of lipid and protein oxidative damage in frozen-thawed pork using hyperspectral imaging
J Cheng, J Sun, K Yao, M Xu, C Dai - Meat science, 2023 - Elsevier
Lipid and protein oxidation are the main causes of meat deterioration during freezing.
Traditional methods using hyperspectral imaging (HSI) need to train multiple independent …
Traditional methods using hyperspectral imaging (HSI) need to train multiple independent …
Portable electronic nose system with elastic architecture and fault tolerance based on edge computing, ensemble learning, and sensor swarm
T Wang, Y Wu, Y Zhang, W Lv, X Chen, M Zeng… - Sensors and Actuators B …, 2023 - Elsevier
The portable electronic nose (E-nose) systems are suffering from the limited computing
ability of microcontrollers and can only adopt simple pattern recognition algorithms. The …
ability of microcontrollers and can only adopt simple pattern recognition algorithms. The …
Geographical traceability of soybean: An electronic nose coupled with an effective deep learning method
H Sun, Z Hua, C Yin, F Li, Y Shi - Food chemistry, 2024 - Elsevier
The quality of soybeans is correlated with their geographical origin. It is a common
phenomenon to replace low-quality soybeans from substandard origins with superior ones …
phenomenon to replace low-quality soybeans from substandard origins with superior ones …
Selective identification and quantification of VOCs using metal nanoparticles decorated SnO2 hollow-spheres based sensor array and machine learning
S Acharyya, PK Bhowmick, PK Guha - Journal of Alloys and Compounds, 2023 - Elsevier
Accurate and selective detection of target gas/volatile organic compounds (VOCs) is of
utmost importance. The chemiresistive gas sensors have been a desirable candidate due to …
utmost importance. The chemiresistive gas sensors have been a desirable candidate due to …
E-nose system based on Fourier series for gases identification and concentration estimation from food spoilage
J Luo, Z Zhu, W Lv, J Wu, J Yang, M Zeng… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This work presents an electronic nose (EN)-based gas identification and concentration
estimation method for the detection of food spoilage. The response data of sensors were …
estimation method for the detection of food spoilage. The response data of sensors were …
Advances in machine‐learning enhanced nanosensors: From cloud artificial intelligence toward future edge computing at chip level
Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …