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

ISSN Print: 1913-3715
ISSN Online: 1913-3723
www.scirp.net/journal/ijcns
E-mail: [email protected]

Citations

"A Survey of the Machine Learning Models for Forest Fire Prediction and Detection"
written by Prathibha Sobha, Shahram Latifi,
published by International Journal of Communications, Network and System Sciences, Vol.16 No.7, 2023

has been cited by the following article(s):

[1]	Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection
	arXiv preprint arXiv:2401.12924, 2024

[2]	Enhanced Fire and Smoke Detection Utilizing Yolov8: A Deep Learning Approach
	2024 10th International …, 2024

[3]	MACHINE LEARNING MODELS FOR TIMELY DEPRESSION DETECTION IN SOCIAL MEDIA

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[2]	Comparative Evaluation of Machine Learning Models and Remote Sensing Data for Wildfire Prediction in the Atlas Middle Forest, Morocco Earth Systems and Environment, 2025 DOI:10.1007/s41748-025-00823-8

[3]	Machine Learning Approach For Predicting Forest Fire Using Autoencoder 2025 International Conference on Artificial intelligence and Emerging Technologies (ICAIET), 2025 DOI:10.1109/ICAIET65052.2025.11211306

[4]	Enhanced Fire and Smoke Detection Utilizing Yolov8: A Deep Learning Approach 2024 10th International Conference on Communication and Signal Processing (ICCSP), 2024 DOI:10.1109/ICCSP60870.2024.10543822

[5]	ICT for Intelligent Systems Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-97-6684-0_26

[6]	Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks International Journal of Data Warehousing and Mining, 2024 DOI:10.4018/IJDWM.349975