Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform-Reference-Cited by-同舟云学术

Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform

Published:2021-12 Issue: Volume:801 Page:149654
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Kim Jusong,Wang Xiaoli,Kang Chollyong,Yu Jinwon,Li Penghui

Funder

Tianjin University of Technology

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Tianjin Municipal Education Commission

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference49 articles.

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