AIMC Topic: Electronic Nose

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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...
Seasons Honey Electronic Nose Deep Learning Electrodes
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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...
Machine Learning Electronic Nose Robotics Odorants
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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...
Exhalation Electronic Nose Humans Machine Learning Lung Diseases Precision Medicine Smell
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Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.

Molecules (Basel, Switzerland) Aug 23, 2021
Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors can affect the composition and levels (concentration) of volatile aromatic compounds, including the water status of grapevines, canopy management, an...
Wine Vitis Gas Chromatography-Mass Spectrometry Machine Learning Principal Component Analysis Neural Networks, Computer Multivariate Analysis Odorants Volatile Organic Compounds Electronic Nose Smoke
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An Ensemble Learning Method for Robot Electronic Nose with Active Perception.

Sensors (Basel, Switzerland) Jun 7, 2021
The electronic nose is the olfactory organ of the robot, which is composed of a large number of sensors to perceive the smell of objects through free diffusion. Traditionally, it is difficult to realize the active perception function, and it is diffi...
Perception Electronic Nose Nose Odorants Smell Machine Learning Robotics
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E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review.

Critical reviews in food science and nutrition Mar 29, 2021
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different compounds in several food matrices. These sensors allow the detection of one or more compounds present in complex food samples, and the responses obt...
Tongue Food Quality Electronic Nose Humans Artificial Intelligence Algorithms
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Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non-Invasive Diabetes Diagnosis: A Review.

IEEE reviews in biomedical engineering Jan 22, 2021
Diabetes mellitus, commonly measured through an invasive process which although is accurate, has manifold drawbacks especially when multiple reading are required at regular intervals. Accordingly, there is a need to develop a dependable non-invasive ...
Breath Tests Electronic Nose Diabetes Mellitus Monitoring, Physiologic Biosensing Techniques Humans Machine Learning Acetone Signal Processing, Computer-Assisted Glucose Biomarkers
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Breath biopsy of breast cancer using sensor array signals and machine learning analysis.

Scientific reports Jan 8, 2021
Breast cancer causes metabolic alteration, and volatile metabolites in the breath of patients may be used to diagnose breast cancer. The objective of this study was to develop a new breath test for breast cancer by analyzing volatile metabolites in t...
Middle Aged Case-Control Studies Nanotubes, Carbon Volatile Organic Compounds Biopsy Aged Breath Tests Adult Electronic Nose Humans Breast Neoplasms Machine Learning
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Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.

Sensors (Basel, Switzerland) Jul 30, 2020
In this study, an electronic nose (E-nose) consisting of seven metal oxide semiconductor sensors is developed to identify milk sources (dairy farms) and to estimate the content of milk fat and protein which are the indicators of milk quality. The dev...
Algorithms Discriminant Analysis Support Vector Machine Machine Learning Animals Milk Logistic Models Food Analysis Electronic Nose
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Sensor-Array Optimization Based on Time-Series Data Analytics for Sanitation-Related Malodor Detection.

IEEE transactions on biomedical circuits and systems Jun 12, 2020
There is an unmet need for a low-cost instrumented technology for detecting sanitation-related malodor as an alert for maintenance around shared toilets and emerging technologies for onsite waste treatment. In this article, our approach to an electro...
Toilet Facilities Equipment Design Machine Learning Odorants Algorithms Gases Feces Electronic Nose Humans Urine Neural Networks, Computer
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