AIMC Topic: Electronic Nose

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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 Neural Networks, Computer Olfactory Perception Algorithms Normal Distribution Tea Equipment Design Odorants
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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 Bacteria Signal Processing, Computer-Assisted Wound Infection Gases Animals Rats 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 Olfactory Bulb Olfactory Perception Animals Electronic Nose Rats
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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...
Middle Aged Risk Assessment Disease Progression Adult Male Proof of Concept Study Breath Tests Electronic Nose Fatty Liver Volatile Organic Compounds Humans Prospective Studies Risk Factors Aged Female
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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 Deep Learning Volatile Organic Compounds Capsicum
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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 Odorants Electronic Nose Deep Learning
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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...
Meat Electronic Nose Brochothrix Pseudomonas Animals Fuzzy Logic Food Microbiology Neural Networks, Computer Machine Learning
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Intelligent Olfactory System Utilizing Ceria Nanoparticle-Integrated Laser-Induced Graphene.

ACS nano May 13, 2025
The digitization of human senses has driven innovation across various technologies and transformed our daily lives, yet the digitization of olfaction remains a challenging frontier. Artificial olfactory systems, or electronic noses (e-noses), offer g...
Nanoparticles Support Vector Machine Odorants Humans Lasers Smell Electronic Nose Graphite Cerium
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Overcoming methodological barriers in electronic nose clinical studies, a simulation data-based approach.

Journal of breath research May 9, 2025
Analysis of volatile organic compounds by electronic nose (e-nose) may address gaps in non-invasive screening for neoplasia. Machine learning impacts study design and sample size requirements, but guidance on clinical study design is limited. This st...
Sample Size Volatile Organic Compounds Breath Tests Computer Simulation Neoplasms Electronic Nose Humans
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An E-nose and Convolution Neural Network based Recognition Method for Processed Products of Crataegi Fructus.

Combinatorial chemistry & high throughput screening Jan 1, 2021
BACKGROUND: The manual identification of Fructus Crataegi processed products is inefficient and unreliable. Therefore, efficient identification of the Fructus Crataegis' processed products is important.
Plant Extracts Drugs, Chinese Herbal Neural Networks, Computer Crataegus Electronic Nose
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