A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction

Published:2024-07-02 Issue: Volume:35 Page:350-359
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
language:
Short-container-title:

Author:

Mutakabbir Abdul¹,Lung Chung-Horng¹,Ajila Samuel A.¹,Naik Kshirasagar²,Zaman Marzia³,Purcell Richard⁴,Sampalli Srinivas⁴,Ravichandran Thambirajah⁵

Affiliation:

1. Carleton University,Department of Systems and Computer Engineering,Ottawa,ON,Canada

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

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

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

5. Hegyi Geomatics International Inc.,Research and Development,Ottawa,ON,Canada

Funder

NSERC Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633472.pdf?arnumber=10633472

Reference31 articles.

1. A Data Mining Approach to Predict Forest Fires using Meteorological Data;Cortez;Environmental Science,2007

2. Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

3. Parallel SVM model for forest fire prediction

4. Modelling forest fire and firebreak scenarios in a mediterranean mountainous catchment: Impacts on sediment loads

5. Cloud-to-Ground Lightning in Canada: 20 Years of CLDN Data

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