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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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Váldodahkkit: Liu, Hui (Dahkki), Li, Yanfei (Dahkki), Duan, Zhu (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Preanttus:1st ed. 2025.
Ráidu:Engineering Applications of Computational Methods, 23
Fáttát:
Environmental sciences > Mathematics.
Environmental monitoring.
Artificial intelligence > Data processing.
Engineering > Data processing.
Pollution.
Mathematical Applications in Environmental Science.
Environmental Monitoring.
Data Science.
Data Engineering.
Liŋkkat:https://doi.org/10.1007/978-981-96-5777-3
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