| Description |
1 online resource |
| Series |
Engineering applications of computational methods ; v. 23 |
|
Engineering applications of computational methods ; v. 23.
|
| Contents |
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 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 18, 2025) |
| Subject |
Air quality -- Measurement -- Data processing
|
|
Data mining.
|
| Genre/Form |
Electronic books
|
| Form |
Electronic book
|
| Author |
Li, Yanfei (Mechanical and electrical engineer)
|
|
Duan, Zhu
|
| ISBN |
9789819657773 |
|
9819657776 |
|
