Forest fire monitoring system supported by unmanned aerial vehicles and edge computing: a performance evaluation using petri nets-Reference-Cited by-同舟云学术

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Forest fire monitoring system supported by unmanned aerial vehicles and edge computing: a performance evaluation using petri nets

Published:2024-04-29 Issue:7 Volume:27 Page:9735-9755
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Sabino Arthur,Lima Luiz Nelson,Brito Carlos,Feitosa Leonel,Caetano Marcos F.,Barreto Priscila Solis,Silva Francisco Airton

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04504-5.pdf

Reference31 articles.

1. Dang-Ngoc, H., Nguyen-Trung, H.: Aerial forest fire surveillance-evaluation of forest fire detection model using aerial videos. In 2019 International Conference on Advanced Technologies for Communications (ATC), pages 142–148. IEEE, (2019)

2. Sairi, A., Labed, S., Miles, B., Kout, A.: A review on early forest fire detection using iot-enabled wsn. In 2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS), pages 1–6. IEEE, (2023)

3. Georgiev, G.D., Hristov, G., Zahariev, P., Kinaneva, D.: Forest monitoring system for early fire detection based on convolutional neural network and uav imagery. In 2020 28th National Conference with International Participation (TELECOM), pages 57–60. IEEE, (2020)

4. Krowl, M.D., Natalie, K., Hanson, L.A.:. Wildfires: Crs experts, (2021). Congressional Research Service

5. Barmpoutis, P., Papaioannou, P., Dimitropoulos, K., Grammalidis, N.: A review on early forest fire detection systems using optical remote sensing. Sensors 20(22), 6442 (2020)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performability Modeling and Analysis for Real-Time Object Detection on UAV Systems;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

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