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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| Autores principales: | , , |
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| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Colección: | Engineering Applications of Computational Methods,
23 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-981-96-5777-3 |
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Tabla de Contenidos:
- 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.