Data Science in Air Quality Monitoring

This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. In the book, the data-driven key techniques of the preprocessing, decomposition, identification, clustering, forecasting and interpolation of the air quality m...

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Bibliographic Details

Main Authors:	Liu, Hui (Author), Li, Yanfei (Author), Duan, Zhu (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edition:	1st ed. 2025.
Series:	Engineering Applications of Computational Methods, 23
Subjects:	Environmental sciences > Mathematics. Environmental monitoring. Artificial intelligence > Data processing. Engineering > Data processing. Pollution. Mathematical Applications in Environmental Science. Environmental Monitoring. Data Science. Data Engineering.
Online Access:	https://doi.org/10.1007/978-981-96-5777-3
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