Author:
Liu Pingshan,Xiang Pingchuan,Lu Dianjie
Funder
National Natural Science Foundation of China under grants
Guilin Science and Technology Development Program under grant
Natural Science Foundation of Shandong Province under grant
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference40 articles.
1. Li Y, Zhang W, Liu Y et al (2022) A visualized fire detection method based on convolutional neural network beyond anchor. Appl Intell 52:1–16
2. Ahrens M, Evarts B, Fire loss in the United States during (2021) National Fire Protection Association (NFPA), 2022. https://www.nfpa.org/News-and-Research/Data-research-and-tools/US-Fire-Problem/Fire-loss-in-the-United-States
3. Gaur A, Singh A, Kumar A et al (2019) Fire sensing technologies: a review. IEEE Sens J 19(9):3191–3202
4. Hangauer A, Chen J, Strzoda R et al (2014) Performance of a fire detector based on a compact laser spectroscopic carbon monoxide sensor. Opt Express 22(11):13680–13690
5. Nakıp M, Güzeliş C (2019) Development of a multi-sensor fire detector based on machine learning models//2019 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2019: 1–6
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