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Data Science in Air Quality Monitoring / / by Hui Liu, Yanfei Li, Zhu Duan



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Autore: Liu Hui Visualizza persona
Titolo: Data Science in Air Quality Monitoring / / by Hui Liu, Yanfei Li, Zhu Duan Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (258 pages)
Disciplina: 333.7
Soggetto topico: Environmental sciences - Mathematics
Environmental monitoring
Artificial intelligence - Data processing
Engineering - Data processing
Pollution
Mathematical Applications in Environmental Science
Environmental Monitoring
Data Science
Data Engineering
Altri autori: LiYanfei  
DuanZhu  
Nota di contenuto: Chapter 1 Introduction -- Chapter 2 Data preprocessing in air quality monitoring -- Chapter 3 Data decomposition in air quality monitoring -- Chapter 4 Data identification in air quality monitoring -- Chapter 5 Data preprocessing in air quality monitoring -- Chapter 6 Data forecasting in air quality monitoring -- Chapter 7 Data interpolation in air quality monitoring.
Sommario/riassunto: 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 monitoring are explained in details with lots of experimental simulation. The book can provide important reference for the development of data science technologies in engineering air quality monitoring. The book can be used for students, engineers, scientists and managers in the fields of environmental engineering, atmospheric science, urban climate, civil engineering, traffic and vehicle engineering, etc.
Titolo autorizzato: Data Science in Air Quality Monitoring  Visualizza cluster
ISBN: 981-9657-77-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911007357103321
Lo trovi qui: Univ. Federico II
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Serie: Engineering Applications of Computational Methods, . 2662-3374 ; ; 23