Air Quality Prediction Using a Deep Neural Network Model-Reference-Cited by-同舟云学术

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Air Quality Prediction Using a Deep Neural Network Model

Published:2019-04-30 Issue:2 Volume:35 Page:214-225
ISSN:1598-7132
Container-title:Journal of Korean Society for Atmospheric Environment
language:en
Short-container-title:KOSAE

Author:

Cho Kyunghak,Lee Byoung-young,Kwon Myeongheum,Kim Seogcheol

Publisher

Korean Society for Atmospheric Environment

Subject

Pollution,Environmental Science (miscellaneous),Environmental Chemistry,Environmental Engineering

Cited by 13 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. Mapping nationwide concentrations of sulfate and nitrate in ambient PM2.5 in South Korea using machine learning with ground observation data;Science of The Total Environment;2024-05

2. A Study on the PM2.5 forcasting Method in Busan Using Deep Neural Network;Journal of Environmental Science International;2023-08-31

3. Accuracy Analysis of Machine Learning Methods for Predicting PM Concentration;Journal of Korean Society for Atmospheric Environment;2023-04-30

4. Application and Evaluation of Machine Learning Techniques for Real-time Short-term Prediction of Air Pollutants;Journal of Korean Society for Atmospheric Environment;2023-02-28

5. Multi-layer long short-term memory (LSTM) prediction model on air pollution for Konya province;International Journal of Applied Mathematics Electronics and Computers;2022-12-29

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