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COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra. / Kugaevskikh, Alexander V.

Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. ред. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 24-27 (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Kugaevskikh, AV 2022, COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra. в S Shaposhnikov (ред.), Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022, Institute of Electrical and Electronics Engineers Inc., стр. 24-27, 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022, St. Petersburg, Российская Федерация, 16.06.2022. https://doi.org/10.1109/NeuroNT55429.2022.9805563

APA

Kugaevskikh, A. V. (2022). COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra. в S. Shaposhnikov (Ред.), Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022 (стр. 24-27). (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NeuroNT55429.2022.9805563

Vancouver

Kugaevskikh AV. COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra. в Shaposhnikov S, Редактор, Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. стр. 24-27. (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022). doi: 10.1109/NeuroNT55429.2022.9805563

Author

Kugaevskikh, Alexander V. / COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra. Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. Редактор / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 24-27 (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022).

BibTeX

@inproceedings{493a4b68646c455dbfb88ee281e6eb1b,
title = "COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra",
abstract = "This article describes the use of convolutional neural networks to screening first stage of the COVID on exhale spectra. A distinctive feature is the use of the glow-dicharge optical spectroscopy. The hypothesis put forward about the use of spectra images, and not the spectra themselves, for classification was confirmed. Accuracy was 87 %. However, accuracy is affected by obtaining stable exhale spectra. The impact on the spectrum of concomitant diseases, smoking, pregnancy is not fully understood. However, CNN can be used to diagnose COVID with an acceptable level of accuracy. The results described in the work are the initial stage of research. ",
keywords = "CNN, COVID-19, disease classification, exhale spectra, glow-discharge, neural network",
author = "Kugaevskikh, {Alexander V.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022 ; Conference date: 16-06-2022",
year = "2022",
doi = "10.1109/NeuroNT55429.2022.9805563",
language = "English",
isbn = "9781665467766",
series = "Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "24--27",
editor = "S. Shaposhnikov",
booktitle = "Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022",
address = "United States",

}

RIS

TY - GEN

T1 - COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra

AU - Kugaevskikh, Alexander V.

N1 - Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - This article describes the use of convolutional neural networks to screening first stage of the COVID on exhale spectra. A distinctive feature is the use of the glow-dicharge optical spectroscopy. The hypothesis put forward about the use of spectra images, and not the spectra themselves, for classification was confirmed. Accuracy was 87 %. However, accuracy is affected by obtaining stable exhale spectra. The impact on the spectrum of concomitant diseases, smoking, pregnancy is not fully understood. However, CNN can be used to diagnose COVID with an acceptable level of accuracy. The results described in the work are the initial stage of research.

AB - This article describes the use of convolutional neural networks to screening first stage of the COVID on exhale spectra. A distinctive feature is the use of the glow-dicharge optical spectroscopy. The hypothesis put forward about the use of spectra images, and not the spectra themselves, for classification was confirmed. Accuracy was 87 %. However, accuracy is affected by obtaining stable exhale spectra. The impact on the spectrum of concomitant diseases, smoking, pregnancy is not fully understood. However, CNN can be used to diagnose COVID with an acceptable level of accuracy. The results described in the work are the initial stage of research.

KW - CNN

KW - COVID-19

KW - disease classification

KW - exhale spectra

KW - glow-discharge

KW - neural network

UR - http://www.scopus.com/inward/record.url?scp=85134290816&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/8166bf3b-cbdf-3158-81e1-b093e554002b/

U2 - 10.1109/NeuroNT55429.2022.9805563

DO - 10.1109/NeuroNT55429.2022.9805563

M3 - Conference contribution

AN - SCOPUS:85134290816

SN - 9781665467766

T3 - Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022

SP - 24

EP - 27

BT - Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022

A2 - Shaposhnikov, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022

Y2 - 16 June 2022

ER -

ID: 36717382