A Study of Novel Initial Fire Detection Algorithm Based on Deep Learning Method-Reference-Cited by-同舟云学术

A Study of Novel Initial Fire Detection Algorithm Based on Deep Learning Method

Published:2024-08 Issue:6 Volume:19 Page:3675-3686
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Yu RaeHyun,Kim Kyungho^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42835-024-02009-0.pdf

Reference14 articles.

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3. Fire Editor. BAFE and NAPIT highlight disturbing failure rates and absence of domestic smoke alarms. Fireknowledge. Mar 2 (2022) from https://fire-magazine.co.uk/bafe-and-napit-highlight-disturbing-failure-rates-and-absence-of-domestic-smoke-alarms

4. Solbi S, Sangmin S (2022) December). Deep learning based fire and smoke detection systems in Camera. J Knowl Inform Technol Syst 17(6). https://doi.org/10.34163/jkits.2022.17.6.016. pp. 1251 ~ 1258

5. Kan A, Sohail A, Zahoora U, Qureshi S (2020) April). A survey of the recent architectures of deep convolutional neural networks. Published Artif Intell Rev 53:5455–5516. https://doi.org/10.1007/s10462-020-09825-6

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1. Correction: A Study of Novel Initial Fire Detection Algorithm Based on Deep Learning Method;Journal of Electrical Engineering & Technology;2024-09-02