Fire and blood detection system in disaster environment using UAV and FPGA
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15507-6.pdf
Reference23 articles.
1. AlAli ZT, Alabady SA (2022) A survey of disaster management and SAR operations using sensors and supporting techniques. Int J Disaster Risk Reduct 82:103295. https://doi.org/10.1016/j.ijdrr.2022.103295
2. AlAli ZT, Alabady SA (2022) The role of unmanned aerial vehicle and related technologies in disasters. Remote Sens Appl: Soc Environ 28:100873. https://doi.org/10.1016/j.rsase.2022.100873
3. Al-Naji A, Perera AG, Mohammed SL, Chahl J (2019) Life signs detector using a drone in disaster zones. Remote Sens 11(20):2441. https://doi.org/10.3390/rs11202441
4. Ali ZTA, Alabady SA (2022) Unmanned aerial vehicle benefits, and drawbacks in critical situations. Quantum J Eng Sci Technol 3(4):Art. no. 4
5. Arnold RD, Yamaguchi H, Tanaka T (2018) Search and rescue with autonomous flying robots through behavior-based cooperative intelligence. Int J Humanitarian Action 3(1):18. https://doi.org/10.1186/s41018-018-0045-4
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1. Techniques and methods for managing disasters and critical situations;Natural Hazards;2024-03-29
2. FPGA Hardware Implementation of Memristor Pulse Coupled Neural Network for Edge Detection Images;Journal of Image and Signal Processing;2024
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