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Desert/Forest Fire Detection Using Machine/Deep Learning Techniques
- Subjects: Computer Science, Artificial Intelligence; Engineering, Environmental; Engineering, Electrical & Electronic
- |
- Contributors:
- Mohammad Shekaramiz ,
- Mason Davis
- desert fire
- forest fire detection
- deep learning
- transfer learning
- Xception
- ResNet-50
- support vector machines
- image classification
- hyperparameter tuning
Video Introduction
This video is adapted from 10.3390/fire6110418
As climate change and human activity increase the likelihood of devastating wildfires, the need for early fire detection methods is inevitable. Although, it has been shown that deep learning and artificial intelligence can offer a solution to this problem, there is still a lot of room for improvement. In this video, two new deep learning approaches to fire detection are developed and investigated utilizing pre-trained ResNet-50 and Xception for feature extraction with a detailed comparison against support vector machine (SVM), ResNet-50, Xception, and MobileViT architectures.
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Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Shekaramiz, M.; Davis, M. Desert/Forest Fire Detection Using Machine/Deep Learning Techniques. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/968 (accessed on 30 December 2025).
Shekaramiz M, Davis M. Desert/Forest Fire Detection Using Machine/Deep Learning Techniques. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/968. Accessed December 30, 2025.
Shekaramiz, Mohammad, Mason Davis. "Desert/Forest Fire Detection Using Machine/Deep Learning Techniques" Encyclopedia, https://encyclopedia.pub/video/video_detail/968 (accessed December 30, 2025).
Shekaramiz, M., & Davis, M. (2023, November 17). Desert/Forest Fire Detection Using Machine/Deep Learning Techniques. In Encyclopedia. https://encyclopedia.pub/video/video_detail/968
Shekaramiz, Mohammad and Mason Davis. "Desert/Forest Fire Detection Using Machine/Deep Learning Techniques." Encyclopedia. Web. 17 November, 2023.
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