Forest Fires Detection using Deep Transfer Learning-Reference-Cited by-同舟云学术

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Forest Fires Detection using Deep Transfer Learning

Published:2022 Issue:8 Volume:13 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

YANDOUZI Mimoun,GRARI Mounir,IDRISSI Idriss,BOUKABOUS Mohammed,MOUSSAOUI Omar,AZIZI Mostafa,GHOUMID Kamal,ELMIAD Aissa KERKOUR

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume13No8/Paper_32-Forest_Fires_Detection_using_Deep_Transfer_Learning.pdf

Cited by 8 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. An efficient fire detection system based on deep neural network for real-time applications;Signal, Image and Video Processing;2024-06-01

2. Forest Fire Surveillance Through Deep Learning Segmentation and Drone Technology;Information Systems Engineering and Management;2024

3. CT-Fire: a CNN-Transformer for wildfire classification on ground and aerial images;International Journal of Remote Sensing;2023-12

4. An Analysis of Pre-trained Models Versus Custom Deep Learning Models for Forest Fire Detection;2023 33rd International Telecommunication Networks and Applications Conference;2023-11-29

5. Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation;International Journal of Remote Sensing;2023-09-17

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