AIMC Topic: Electronic Nose

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Ultralow-Power Single-Sensor-Based E-Nose System Powered by Duty Cycling and Deep Learning for Real-Time Gas Identification.

ACS sensors Jun 10, 2024
This study presents a novel, ultralow-power single-sensor-based electronic nose (e-nose) system for real-time gas identification, distinguishing itself from conventional sensor-array-based e-nose systems, whose power consumption and cost increase wit...
Gases Electric Power Supplies Electronic Nose Deep Learning Semiconductors
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Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar.

Sensors (Basel, Switzerland) Jun 2, 2024
The potential of a voltametric E-tongue coupled with a custom data pre-processing stage to improve the performance of machine learning techniques for rapid discrimination of tomato purées between cultivars of different economic value has been investi...
Electrodes Bridged Bicyclo Compounds, Heterocyclic Electronic Nose Polymers Solanum lycopersicum Machine Learning Discriminant Analysis Gold Copper Metal Nanoparticles
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Cross-site validation of lung cancer diagnosis by electronic nose with deep learning: a multicenter prospective study.

Respiratory research May 10, 2024
BACKGROUND: Although electronic nose (eNose) has been intensively investigated for diagnosing lung cancer, cross-site validation remains a major obstacle to be overcome and no studies have yet been performed.
Prospective Studies Female Humans Adult Male Middle Aged Reproducibility of Results Aged Breath Tests Electronic Nose Deep Learning Lung Neoplasms
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Development of machine learning-based shelf-life prediction models for multiple marine fish species and construction of a real-time prediction platform.

Food chemistry Apr 10, 2024
At least 10 million tons of seafood products are spoiled or damaged during transportation or storage every year worldwide. Monitoring the freshness of seafood in real time has become especially important. In this study, four machine learning algorith...
Gas Chromatography-Mass Spectrometry Temperature Seafood Electronic Nose Animals Food Storage Machine Learning Fishes
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Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 6, 2024
Portable and personalized artificial intelligence (AI)-driven sensors mimicking human olfactory and gustatory systems have immense potential for the large-scale deployment and autonomous monitoring systems of Internet of Things (IoT) devices. In this...
Electronic Nose Odorants Taste Coffee Smell Tongue Principal Component Analysis Zinc Oxide Artificial Intelligence Humans Machine Learning
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Multichannel Hierarchical Analysis of Time-Resolved Hyperspectral Data for Advanced Colorimetric E-Nose.

ACS sensors Mar 28, 2024
The colorimetric sensor-based electronic nose has been demonstrated to discriminate specific gaseous molecules for various applications, including health or environmental monitoring. However, conventional colorimetric sensor systems rely on RGB senso...
Electronic Nose Colorimetry Volatile Organic Compounds Neural Networks, Computer
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Electronic eye and electronic tongue data fusion combined with a GETNet model for the traceability and detection of Astragalus.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Astragalus is a widely used traditional Chinese medicine material that is easily confused due to its quality, price and other factors derived from different origins. This article describes a novel method for the rapid tracing and detectio...
Neural Networks, Computer Taste Astragalus Plant Drugs, Chinese Herbal Electronic Nose
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Characterization of lamb shashliks with different roasting methods by intelligent sensory technologies and GC-MS to simulate human muti-sensation: Based on multimodal deep learning.

Food chemistry Dec 24, 2023
To simulate the functions of olfaction, gustation, vision, and oral touch, intelligent sensory technologies have been developed. Headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS) with electronic noses (E-noses...
Smell Solid Phase Microextraction Sheep Humans Volatile Organic Compounds Animals Deep Learning Electronic Nose Gas Chromatography-Mass Spectrometry
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Geographical traceability of soybean: An electronic nose coupled with an effective deep learning method.

Food chemistry Dec 14, 2023
The quality of soybeans is correlated with their geographical origin. It is a common phenomenon to replace low-quality soybeans from substandard origins with superior ones. This paper proposes the adaptive convolutional kernel channel attention netwo...
Electronic Nose Deep Learning Glycine max Geography Algorithms
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Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis.

Journal of breath research Aug 29, 2023
Electronic nose (eNose) technology is an emerging diagnostic application, using artificial intelligence to classify human breath patterns. These patterns can be used to diagnose medical conditions. Sarcoidosis is an often difficult to diagnose diseas...
Sarcoidosis Electronic Nose Humans Datasets as Topic Machine Learning
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