An Experimental Approach to Detect Forest Fire Using Machine Learning Mathematical Models and IoT
Author:
Funder
Microsoft Research
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-023-02514-5.pdf
Reference34 articles.
1. Diwan T, Anirudh G, Tembhurne JV. Object detection using YOLO: challenges, architectural successors, datasets and applications. Multimedia Tools Appl. 2023;82(6):9243–75.
2. Chaturvedi S, Khanna P, Ojha AJ, Sensing R. A survey on vision-based outdoor smoke detection techniques for environmental safety. ISPRS J Photogramm Remote Sens. 2022;185:158–87.
3. Ayala A, Fernandes BJT, Cruz F, Macêdo D, Zanchettin C. Convolution optimization in fire classification. IEEE Access. 2022;10:23642–58.
4. Khan S, Muhammad K, Mumtaz S, Baik SW, Albuquerque De VHC (2019) Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment. In: IEEE Internet of Things Journal 6(6): 9237-9245
5. Almeida JS, Huang C, Nogueira FG, Bhatia S, de Albuquerque VHC. EdgeFireSmoke: a novel lightweight CNN model for real-time video fire-smoke detection. IEEE Trans Industr Inf. 2022;18(11):7889–98. https://doi.org/10.1109/TII.2021.3138752.
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