Spatio-attention embedded recurrent neural network for air quality prediction
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference33 articles.
1. Deep air quality forecasting using hybrid deep learning framework;Du;IEEE Trans. Knowl. Data Eng.,2021
2. Geoman: Multi-level attention networks for geo-sensory time series prediction;Liang,2018
3. Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network;Ma;Sci. Total Environ.,2020
4. A hybrid model for spatiotemporal forecasting of PM2. 5 based on graph convolutional neural network and long short-term memory;Qi;Sci. Total Environ.,2019
5. A deep spatial-temporal ensemble model for air quality prediction;Wang;Neurocomputing,2018
Cited by 47 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. Fine particulate matter concentration prediction based on hybrid convolutional network with aggregated local and global spatiotemporal information: A case study in Beijing and Chongqing;Atmospheric Environment;2024-09
2. Evaluation of Deep Learning Models for Predicting the Concentration of Air Pollutants in Urban Environments;Sustainability;2024-08-17
3. Nonlinear dynamic engineering processes modeling using a lyapunov-stability based novel locally connected recurrent pi-sigma neural network: design, simulation, and a comparative study;Evolving Systems;2024-07-24
4. Improving Air Quality Prediction via Self-Supervision Masked Air Modeling;Atmosphere;2024-07-19
5. Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning;Environmental Pollution;2024-06
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