Fire Hotspots Mapping and Forecasting in Indonesia Using Deep Learning Algorithm-Reference-Cited by-同舟云学术

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Fire Hotspots Mapping and Forecasting in Indonesia Using Deep Learning Algorithm

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Electrical Engineering and Informatics (ICon EEI)
language:
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Author:

Listia Rosa Sri¹,Abdul Kadir Evizal¹,Syukur Abdul²,Irie Hitoshi³,Wandri Rizky¹,Fikri Evizal Muhammad⁴

Affiliation:

1. Universitas Islam Riau,Department of Informatics Engineering,Pekanbaru,Indonesia,28284

2. National Taiwan University Science and Technology,Computer Science and Information Engineering,Taipei,Taiwan

3. Chiba University,Centre for Environmental Remote Sensing,Chiba,Japan,263-0022

4. National Dong Hwa University,Computer Science and Information Engineering,Hualien,Taiwan

Funder

Ministry of Education

Chiba University

National Taiwan University of Science and Technology

Universitas Islam Riau

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971790/9972246/09972281.pdf?arnumber=9972281

Reference18 articles.

1. Forest Fire Prediction using LSTM

2. Remote Sensing-Based Assessment of Fire Danger Conditions Over Boreal Forest

3. Smart Sensor System for Detection and Forecasting Forest Fire Hotspot in Riau Province Indonesia

4. Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge

Cited by 2 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. Prediction of Peatlands Forest Fires in Malaysia Using Machine Learning;Forests;2023-07-18

2. A Survey of the Machine Learning Models for Forest Fire Prediction and Detection;International Journal of Communications, Network and System Sciences;2023

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