Forest Fire Prediction Using Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

Forest Fire Prediction Using Machine Learning and Deep Learning Techniques

Published:2022-10-14 Issue: Volume: Page:683-694
ISSN:2367-4512
Container-title:Computer Networks and Inventive Communication Technologies
language:
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Author:

Shreya M.,Rai Ruchika,Shukla Samiksha

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3035-5_51

Reference19 articles.

1. Cortez P, Morais A (2007) A data mining approach to predict forest fires using meteorological data

2. Rishickesh R, Shahina A, Nayeemulla Khan A (2019) Predicting forest fires using supervised and ensemble machine learning algorithms. Int J Recent Technol Eng (IJRTE) 08(02)

3. Milanovíc S, Markovíc N, Pamucar D, Gigovíc L, Kostíc P, Milanovíc SD (2021) Forest fire probability mapping in eastern serbia: logistic regression versus random forest method. In: MDPI Forests

4. Ma W, Feng Z, Cheng Z, Chen S, Wang F (2020) Identifying forest fire driving factors and related impacts in China using random forest algorithm. In: MDPI Forests

5. Varela V, Vlachogiannis D, Sfetsos A, Politi N, Karozis S (2020) Methodology for the study of near-future changes of fire weather patterns with emphasis on archaeological and protected touristic areas in Greece. In: MDPI Forests

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