AIMC Topic: Electronic Nose

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Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model.

Sensors (Basel, Switzerland) Jun 3, 2020
For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the qual...
Cluster Analysis Food Quality Electronic Nose Machine Learning Algorithms Food Analysis
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An Array of MOX Sensors and ANNs to Assess Grated Parmigiano Reggiano Cheese Packs' Compliance with CFPR Guidelines.

Biosensors May 2, 2020
Parmigiano Reggiano cheese is one of the most appreciated Italian foods on account of its high nutrient content and taste. Due to its high cost, these characteristics make this product subject to counterfeiting in different forms. In this study, an a...
Tin Compounds Cheese Electronic Nose Copper Semiconductors Volatile Organic Compounds Neural Networks, Computer
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Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.

Respiratory research Feb 7, 2020
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate ...
Humans Machine Learning Intensive Care Units Case-Control Studies Decision Trees Respiratory Mechanics Pneumonia, Ventilator-Associated Electronic Nose Female Biomedical Research Aged Male Aged, 80 and over Middle Aged
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Identification of Similar Chinese Congou Black Teas Using an Electronic Tongue Combined with Pattern Recognition.

Molecules (Basel, Switzerland) Dec 12, 2019
It is very difficult for humans to distinguish between two kinds of black tea obtained with similar processing technology. In this paper, an electronic tongue was used to discriminate samples of seven different grades of two types of Chinese Congou b...
Humans Neural Networks, Computer Support Vector Machine Camellia sinensis Tea Electronic Nose
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Fuzzy controller based E-nose classification of Sitophilus oryzae infestation in stored rice grain.

Food chemistry Jan 19, 2019
Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was applied for classification of S. oryzae infestation in rice grains. The screened defuzzified data of selective sensors was further applied to detect S. o...
Plant Proteins Weevils Electronic Nose Principal Component Analysis Oxides Edible Grain Oryza Uric Acid Linear Models Animals Metals Fuzzy Logic
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Detection of bitterness and astringency of green tea with different taste by electronic nose and tongue.

PloS one Dec 31, 2018
An electronic nose was used to evaluate the bitterness and astringency of green tea, and the possible application of the sensor was assessed for the evaluation of different tasting green tea samples. Three different grades of green tea were measured ...
Tea Taste Electronic Nose Neural Networks, Computer
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Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection.

Sensors (Basel, Switzerland) Oct 7, 2017
For an electronic nose (E-nose) in wound infection distinguishing, traditional learning methods have always needed large quantities of labeled wound infection samples, which are both limited and expensive; thus, we introduce self-taught learning comb...
Discriminant Analysis Benzene Acetone Ethanol Wound Infection Formaldehyde Electronic Nose Machine Learning Diagnostic Equipment Reproducibility of Results
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Journal of breath research Aug 21, 2017
Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis...
Lung Neoplasms Support Vector Machine Neoplasm Staging Healthy Volunteers Breath Tests Exhalation Male Middle Aged Humans Case-Control Studies Female Aged Adult Electronic Nose Pulmonary Disease, Chronic Obstructive
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An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

Food research international (Ottawa, Ont.) May 20, 2017
Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started gaining popularity as rapid and efficient methods for assessing food quality, safety and authenticatio...
Gas Chromatography-Mass Spectrometry Least-Squares Analysis Bacteria Electronic Nose Machine Learning Spectroscopy, Fourier Transform Infrared Automation Reproducibility of Results Models, Statistical Pattern Recognition, Automated Food Preservation Food Microbiology Metabolomics Principal Component Analysis Chromatography, High Pressure Liquid Data Mining Red Meat Optical Imaging
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A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs.

Sensors (Basel, Switzerland) Sep 10, 2016
Electronic nose (E-nose), as a device intended to detect odors or flavors, has been widely used in many fields. Many labeled samples are needed to gain an ideal E-nose classification model. However, the labeled samples are not easy to obtain and ther...
Electronic Nose Support Vector Machine Air Pollution, Indoor Databases as Topic
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