Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting-Reference-Cited by-同舟云学术

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Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting

Published:2024-03-13 Issue:3 Volume:5 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Blais Marc-Andrė^ORCID,Akhloufi Moulay A.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-024-02650-6.pdf

Reference110 articles.

1. Smith AB, Katz RW. Us billion-dollar weather and climate disasters: data sources, trends, accuracy and biases. Nat Hazards. 2013;67(2):387–410.

2. Melillo JM, Richmond T, Yohe G, et al. Climate change impacts in the United States. In: Third national climate assessment, vol. 52. 2014.

3. Wang D, Guan D, Zhu S, Kinnon MM, Geng G, Zhang Q, Zheng H, Lei T, Shao S, Gong P, et al. Economic footprint of California wildfires in 2018. Nat Sustain. 2021;4(3):252–60.

4. Ghali R, Akhloufi MA, Jmal M, Souidene Mseddi W, Attia R. Wildfire segmentation using deep vision transformers. Remote Sens. 2021;13(17):3527.

5. Akhloufi MA, Tokime RB, Elassady H. Wildland fires detection and segmentation using deep learning. In: Pattern recognition and tracking XXIX, vol. 10649. Bellingham: SPIE; 2018. p. 86–97.

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