Air quality forecasting with hybrid LSTM and extended stationary wavelet transform
Author:
Publisher
Elsevier BV
Subject
Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering
Reference43 articles.
1. Real-time air quality forecasting, part I: history, techniques, and current status;Zhang;Atmos. Environ.,2012
2. A hybrid deep learning technology for PM 2.5 air quality forecasting;Zhang;Environ. Sci. Pollut. Control Ser.,2021
3. Recurrent air quality predictor based on meteorology-and pollution-related factors;Gu;IEEE Trans. Ind. Inf.,2018
4. Towards improving detection performance for malware with correntropy-based deep learning method;Luo;Digital Communications and Networks,2021
5. Bayonet-corpus: a trajectory prediction method based on bayonet context and bidirectional GRU;Huang;Digital Communications and Networks,2021
Cited by 45 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. Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data;Atmospheric Pollution Research;2024-11
2. Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model;Expert Systems with Applications;2024-09
3. Optimized Ensemble Deep Random Vector Functional Link with Nature Inspired Algorithm and Boruta Feature Selection: Multi-site Intelligent Model for Air Quality Index Forecasting;Process Safety and Environmental Protection;2024-09
4. Enhanced Air Quality Prediction Using a Coupled DVMD Informer-CNN-LSTM Model Optimized with Dung Beetle Algorithm;Entropy;2024-06-21
5. Air Quality Prediction using Deep Learning models;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21
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