Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)
language:
Short-container-title:

Author:

Mutakabbir Abdul¹,Lung Chung-Horng¹,Ajila Samuel A.¹,Zaman Marzia²,Naik Kshirasagar³,Purcell Richard⁴,Sampalli Srinivas⁴

Affiliation:

1. Carleton University,Dept of Systems and Computer Eng.,Ottawa,ON,Canada

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

3. University of Waterloo,Dept. Electrical and Computer Eng.,Waterloo,ON,Canada

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

Funder

Carleton University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10196792/10196808/10196981.pdf?arnumber=10196981

Reference22 articles.

1. Crown fuel consumption in Canadian boreal forest fires

2. Information-based optimal subdata selection for big data logistic regression

3. Suppressing Forest Fires in Global Climate Change Through Artificial Intelligence: A Case Study on British Columbia

4. Fifty years of wildland fire science in Canada

Cited by 6 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. A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Distributed Random Forest for Predicting Forest Wildfires Based on Weather Data;Communications in Computer and Information Science;2024

3. Forest Fire Prediction Using Multi-Source Deep Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. A Framework Using Federated Learning for IoT-Based Forest Fire Prediction;2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS);2023-11-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3