AIMC Topic: Electronic Nose
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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...
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...
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.
An Olfactory Sensor Array for Predicting Chemical Odor Characteristics from Mass Spectra with Deep Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Machine learning techniques are useful for applications such as electronic nose (e-nose) systems to classify or identify the target odor. In recent years, deep learning is regarded as one of the most powerful machine learning methods. It enables rese...
Machine Learning in Human Olfactory Research.
Chemical senses
Jan 1, 2019
The complexity of the human sense of smell is increasingly reflected in complex and high-dimensional data, which opens opportunities for data-driven approaches that complement hypothesis-driven research. Contemporary developments in computational and...
Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network.
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
Jul 1, 2017
OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis.
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