Deep-AIR: A Hybrid CNN-LSTM Framework for Fine-Grained Air Pollution Estimation and Forecast in Metropolitan Cities
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong
Funder
Theme-Based Research Scheme of the Research Grants Council of Hong Kong
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09780279.pdf?arnumber=9780279
Reference102 articles.
1. Forecasting Daily Maximum Surface Ozone Concentrations in Brunei Darussalam—An ARIMA Modeling Approach
2. A Hybrid Air Pollution Reconstruction by Adaptive Interpolation Method
3. A Feasible Methodological Framework for Uncertainty Analysis and Diagnosis of Atmospheric Chemical Transport Models
4. Optimization research on air quality numerical model forecasting effects based on deep learning methods
5. Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique
Cited by 24 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. Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook;Information Fusion;2025-01
2. Super-resolution for Gas Distribution Mapping;Sensors and Actuators B: Chemical;2024-11
3. Deep-learning architecture for PM2.5 concentration prediction: A review;Environmental Science and Ecotechnology;2024-09
4. PmForecast: leveraging temporal LSTM to deliver in situ air quality predictions;Environmental Science and Pollution Research;2024-08-10
5. Air Pollution Forecasting using Integrated Weather Stations and Convolutional Neural Network (CNN) Algorithm;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10
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