AIMC Topic: Electronic Nose

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Gas Recognition in E-Nose System: A Review.

IEEE transactions on biomedical circuits and systems May 19, 2022
Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for recognizing multivariate responses obtained by gas sensors in various applications. Over the past decades, classical gas recognition approaches such as princ...
Neural Networks, Computer Gases Electronic Nose Algorithms Principal Component Analysis
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Artificial Olfactory Neuron for an In-Sensor Neuromorphic Nose.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 15, 2022
A neuromorphic module of an electronic nose (E-nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T-neuron) made of a metal-oxide-semiconductor field-effect tran...
Electronic Nose Neurons Smell Neural Networks, Computer Oxides
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Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine.

Sensors (Basel, Switzerland) Apr 14, 2022
Apples are one of the most widely planted fruits in the world, with an extremely high annual production. Several issues should be addressed to avoid the damaging of samples during the quality grading process of apples (e.g., the long detection period...
Hydrodynamics Electronic Nose Discriminant Analysis Malus Algorithms Support Vector Machine
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In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks.

Sensors (Basel, Switzerland) Feb 2, 2022
American foulbrood is a dangerous bee disease that attacks the sealed brood. It quickly leads to the death of bee colonies. Efficient diagnosis of this disease is essential. As specific odours are produced when larvae rot, it was investigated whether...
Larva United States Neural Networks, Computer Animals Bees Electronic Nose Bayes Theorem Semiconductors
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High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm.

ACS sensors Jan 18, 2022
Semiconductor metal oxide (SMO) gas sensors are attracting great attention as next-generation environmental monitoring sensors. However, there are limitations to the actual application of SMO gas sensors due to their low selectivity. Although the ele...
Electronic Nose Oxides Semiconductors Deep Learning Environmental Monitoring
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Effect of short-term frozen storage on taste of gonads of female Eriocheir sinensis and the classification of taste quality combined with sensory evaluation and fuzzy logic model.

Food chemistry Jan 10, 2022
To investigate the taste quality of gonads of Eriocheir sinensis during frozen storage, the difference in overall taste profile was determined by electronic tongue, and the contents of free amino acids and 5'-Nucleotides were measure. The results sho...
Taste Seafood Electronic Nose Decapoda Animals Fuzzy Logic Gonads Female
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A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments.

Nature communications Jan 10, 2022
Object recognition is among the basic survival skills of human beings and other animals. To date, artificial intelligence (AI) assisted high-performance object recognition is primarily visual-based, empowered by the rapid development of sensing and c...
Simulation Training Pattern Recognition, Physiological Electronic Nose Moles Odorants Pattern Recognition, Automated Animals Fires Humans Machine Learning
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Deep learning assisted distinguishing of honey seasonal changes using quadruple voltammetric electrodes.

Talanta Jan 6, 2022
The work presents innovative quadruple disk iridium, platinum, and iridium-platinum voltammetric electrodes with a special design, dedicated to the testing of samples with a complex organic composition. Noble metal wires are tightened in one silver r...
Honey Electronic Nose Electrodes Deep Learning Seasons
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Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods.

Sensors (Basel, Switzerland) Nov 16, 2021
Machine learning methods enable the electronic nose (E-Nose) for precise odor identification with both qualitative and quantitative analysis. Advanced machine learning methods are crucial for the E-Nose to gain high performance and strengthen its cap...
Odorants Electronic Nose Machine Learning Robotics
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The smell of lung disease: a review of the current status of electronic nose technology.

Respiratory research Sep 17, 2021
There is a need for timely, accurate diagnosis, and personalised management in lung diseases. Exhaled breath reflects inflammatory and metabolic processes in the human body, especially in the lungs. The analysis of exhaled breath using electronic nos...
Lung Diseases Machine Learning Humans Exhalation Precision Medicine Smell Electronic Nose
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