A Survey of the Machine Learning Models for Forest Fire Prediction and Detection-Reference-Cited by-同舟云学术

A Survey of the Machine Learning Models for Forest Fire Prediction and Detection

Published:2023 Issue:07 Volume:16 Page:131-150
ISSN:1913-3715
Container-title:International Journal of Communications, Network and System Sciences
language:
Short-container-title:IJCNS

Author:

Sobha Prathibha,Latifi Shahram

Publisher

Scientific Research Publishing, Inc.

Subject

General Medicine

Reference28 articles.

1. A Deep Learning Based Forest Fire Detection Approach Using UAV and YOLOv3

2. Wildfire detection in aerial images using deep learning

3. Cyganek, B. (2023) Object Detection and Recognition in Digital Images: Theory and Practice. 1st Edition. https://www.amazon.com/Object-Detection-Recognition-Digital-Images/dp/0470976373

4. (2023) IEEE Xplore Website. https://forms1.ieee.org/Innovate_eBooks.html?LT=LG_AD_Google_LM_Adwords_eBooks_SEM&gclid=Cj0KCQjwk96lBhDHARIsAEKO4xaObrchX-T-0SmYAi6zrWXOl-faVI75VbvxnUQZ9pAoDZArQE11gokaAgQZEALw_wcB

5. Fire Hotspots Mapping and Forecasting in Indonesia Using Deep Learning Algorithm

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1. Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks;International Journal of Data Warehousing and Mining;2024-08-05

2. Enhanced Fire and Smoke Detection Utilizing Yolov8: A Deep Learning Approach;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

3. Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection;International Journal of Communications, Network and System Sciences;2024