Evaluation of Random Forest model for forest fire prediction based on climatology over Borneo-Reference-Cited by-同舟云学术

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Evaluation of Random Forest model for forest fire prediction based on climatology over Borneo

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
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Author:

Latifah Arnida L.,Shabrina Ayu,Wahyuni Intan N.,Sadikin Rifki

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8946787/8949565/08949588.pdf?arnumber=8949588

Cited by 19 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. Utilizing Deep Learning and Spatial Analysis for Accurate Forest Fire Occurrence Forecasting in the Central Region of China;Forests;2024-08-07

2. Beyond boundaries: Unifying classification and segmentation in wildfire detection systems;Multimedia Tools and Applications;2024-08-05

3. Prediction of compressive strength of nano-silica concrete by using random forest algorithm;Asian Journal of Civil Engineering;2024-06-26

4. An Extreme Learning Based Forest Fire Detection Using Satellite Images with Remote Sensing Norms;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

5. Classification of fire and smoke images using random forest algorithm in comparison with decision tree to measure accuracy, precision, recall, F-score;AIP Conference Proceedings;2024

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