A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction-Reference-Cited by-同舟云学术

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A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction

Published:2023-12-15 Issue: Volume: Page:344-351
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
language:
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Author:

Kaur Parveen¹,Naik Kshirasagar¹,Purcell Richard²,Sampalli Srinivas²,Lung Chung-Horng³,Zaman Marzia⁴,Mutakabbir Abdul³

Affiliation:

1. University of Waterloo,Electrical and Computer Engineering,Waterloo,ON,Canada

2. Dalhousie University,Faculty of Computer Science,Halifax,NS,Canada

3. Carleton University,Systems and Computer Engineering,Ottawa,ON,Canada

4. Research and Development Cistel Technology,Ottawa,ON,Canada

Funder

University of Waterloo

Carleton University

Dalhousie University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386816.pdf?arnumber=10386816

Reference21 articles.

1. Using Multilayer Perceptron to Predict Forest Fires in Jiangxi Province, Southeast China

2. Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China

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