STF-Net: An improved depth network based on spatio-temporal data fusion for PM2.5 concentration prediction
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference53 articles.
1. Health burden attributable to ambient PM2. 5 in China;Song;Environ. Pollut.,2017
2. A fast forecasting method for PM2. 5 concentrations based on footprint modeling and emission optimization;Yu;Atmos. Environ.,2019
3. An enhanced interval PM2. 5 concentration forecasting model based on BEMD and MLPI with influencing factors;Wang;Atmos. Environ.,2020
4. Spatial representativeness of PM2. 5 concentrations obtained using observations from network stations;Shi;J. Geophys. Res.: Atmos.,2018
5. Spatiotemporal variations and connections of single and multiple meteorological factors on PM2. 5 concentrations in Xi’an, China;Zhang;Atmos. Environ.,2022
Cited by 8 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. Short-term air pollution prediction using graph convolutional neural networks;Technological Forecasting and Social Change;2024-11
2. Predicting air quality using a multi-scale spatiotemporal graph attention network;Information Sciences;2024-10
3. Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction;Expert Systems with Applications;2024-07
4. Using Neural Network-Based Time Series Analysis in Wireless Sensor Networks;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
5. Improved prediction of hourly PM2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model;Science of The Total Environment;2024-02
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