Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data
- 16 April 2025
- journal article
- Published by Elsevier in Science of The Total Environment
- Vol. 978, 179303
Abstract
No abstract availableKeywords
Funding Information
- National Research Foundation of Korea (RS-2025-00516776)
- Korea Environmental Industry and Technology Institute
- Ministry of Environment (2021003330001)
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