AIMC Topic: Electronic Nose

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Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose.

Sensors (Basel, Switzerland) Jul 13, 2016
In the application of electronic noses (E-noses), probabilistic prediction is a good way to estimate how confident we are about our prediction. In this work, a homemade E-nose system embedded with 16 metal-oxide semi-conductive gas sensors was used t...
Support Vector Machine Probability Electronic Nose Panax
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Performance Comparison of Fuzzy ARTMAP and LDA in Qualitative Classification of Iranian Rosa damascena Essential Oils by an Electronic Nose.

Sensors (Basel, Switzerland) May 4, 2016
Quality control of essential oils is an important topic in industrial processing of medicinal and aromatic plants. In this paper, the performance of Fuzzy Adaptive Resonant Theory Map (ARTMAP) and linear discriminant analysis (LDA) algorithms are com...
Iran Rosa Electronic Nose Oils, Volatile Fuzzy Logic
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Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system.

Bioinspiration & biomimetics Feb 18, 2016
In many application domains, conventional e-noses are frequently outperformed in both speed and accuracy by their biological counterparts. Exploring potential bio-inspired improvements, we note a number of neuronal network models have demonstrated so...
Computer Simulation Animals Neural Networks, Computer Smell Equipment Design Electronic Nose Nerve Net Insecta Signal Processing, Computer-Assisted Receptors, Odorant Equipment Failure Analysis Computer Systems Biomimetics Models, Neurological
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Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification.

Neural networks : the official journal of the International Neural Network Society Aug 24, 2015
The paper presents a novel encoding scheme for neuronal code generation for odour recognition using an electronic nose (EN). This scheme is based on channel encoding using multiple Gaussian receptive fields superimposed over the temporal EN responses...
Electronic Nose Nose Biomimetics Olfactory Perception Normal Distribution Equipment Design Odorants Neural Networks, Computer Algorithms Tea
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A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance.

Sensors (Basel, Switzerland) Jun 29, 2015
In this paper, a novel feature extraction approach which can be referred to as moving window function capturing (MWFC) has been proposed to analyze signals of an electronic nose (E-nose) used for detecting types of infectious pathogens in rat wounds....
Rats, Sprague-Dawley Male Signal Processing, Computer-Assisted Bacteria Gases Animals Rats Wound Infection Electronic Nose Support Vector Machine
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Odorant recognition using biological responses recorded in olfactory bulb of rats.

Computers in biology and medicine Nov 18, 2014
In this study we applied pattern recognition (PR) techniques to extract odorant information from local field potential (LFP) signals recorded in the olfactory bulb (OB) of rats subjected to different odorant stimuli. We claim that LFP signals registe...
Evoked Potentials Support Vector Machine Animals Olfactory Bulb Electronic Nose Rats Olfactory Perception
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Volatomics for Diagnosis and Risk Stratification of MASLD: A Proof-Of-Concept Study.

Alimentary pharmacology & therapeutics Jul 1, 2025
BACKGROUND AND AIMS: Human breath contains numerous volatile organic compounds (VOCs) produced by physiological and metabolic processes or perturbed in pathological states. Electronic nose (eNose) technology has been extensively validated as a non-in...
Male Middle Aged Risk Assessment Aged Adult Proof of Concept Study Humans Breath Tests Fatty Liver Electronic Nose Female Prospective Studies Volatile Organic Compounds Disease Progression Risk Factors
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An efficient method for chili pepper variety classification and origin tracing based on an electronic nose and deep learning.

Food chemistry Jul 1, 2025
The quality of chili peppers is closely related to their variety and geographical origin. The market often substitutes high-quality chili peppers with inferior ones, and cross-contamination occurs during processing. The existing methods cannot quickl...
Electronic Nose Volatile Organic Compounds Capsicum Deep Learning
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Robust Odor Detection in Electronic Nose Using Transfer-Learning Powered Scentformer Model.

ACS sensors May 23, 2025
Mimicking the olfactory system of humans, the use of electronic noses (E-noses) for the detection of odors in nature has become a hot research topic. This study presents a novel E-nose based on deep learning architecture called Scentformer, which add...
Humans Deep Learning Odorants Electronic Nose
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Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques.

Sensors (Basel, Switzerland) May 19, 2025
Meat quality plays a significant role in the consumers' health condition; hence, the constant pursuit for techniques capable of objective and accurate quality assessment by the meat industry. Multispectral imaging and electronic noses are valuable te...
Neural Networks, Computer Machine Learning Animals Brochothrix Meat Electronic Nose Pseudomonas Fuzzy Logic Food Microbiology
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