Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Dey Prasanjit¹^ORCID,Dev Soumyabrata²^ORCID,Phelan Bianca Schoen³^ORCID

Affiliation:

1. ADAPT SFI Research Centre, School of Computer Science, Technological University Dublin, Dublin, Ireland

2. ADAPT SFI Research Centre, School of Computer Science, University College Dublin, Dublin, Ireland

3. School of Computer Science, Technological University Dublin, Dublin, Ireland

Funder

Science Foundation Ireland Center for Research Training in Digitally-Enhanced Reality

Science Foundation Ireland at the ADAPT SFI Research Center, University College Dublin

ADAPT, SFI Research Center for AI-Driven Digital Content Technology

Science Foundation Ireland through the SFI Research Centers Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10560024.pdf?arnumber=10560024

Reference17 articles.

1. Effect of air pollution on disease burden, mortality, and life expectancy in North Africa and the Middle East: a systematic analysis for the Global Burden of Disease Study 2019

2. Megafires in Chile 2017: Monitoring multiscale environmental impacts of burned ecosystems

3. Urban planning and building smart cities based on the Internet of Things using Big Data analytics

4. Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

5. An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability

Cited by 1 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. Enhancing Air-Quality Predictions on University Campuses: A Machine-Learning Approach to PM2.5 Forecasting at the University of Petroșani;Sustainability;2024-09-09

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