Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction

Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction

Abstract Considering that ozone is essential to understanding air quality and climate change, this study presents a deep learning method for predicting atmospheric ozone concentrations. The method combines an attention mechanism with a convolutional neural network (CNN) and long short-term memory (L...

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Bibliographic Details
Main Authors:	Jiang Yuan, Hua Dengxin, Wang Yufeng, Yang Xueting, Di Huige, Yan Qing
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-025-05877-2
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