國立虎尾科技大學 |

Data science in air quality monitoring

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data science in air quality monitoring/ by Hui Liu, Yanfei Li, Zhu Duan.
作者:	Liu, Hui.
其他作者:	Duan, Zhu.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxii, 239 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Pollution. -
電子資源:	https://doi.org/10.1007/978-981-96-5777-3
ISBN:	9789819657773

Data science in air quality monitoring
Liu, Hui.

Data science in air quality monitoring[electronic resource] /by Hui Liu, Yanfei Li, Zhu Duan. - Singapore :Springer Nature Singapore :2025. - xxii, 239 p. :ill., digital ;24 cm. - Engineering applications of computational methods,v. 232662-3374 ;. - Engineering applications of computational methods ;v. 15..

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.

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.

ISBN: 9789819657773

Standard No.: 10.1007/978-981-96-5777-3doiSubjects--Topical Terms:

565431
Pollution.

LC Class. No.: TD890

Dewey Class. No.: 628.53

Data science in air quality monitoring
LDR:02195nam a2200361 a 4500 001 1162145
003 DE-He213
005 20250603131217.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819657773 $q (electronic bk.)
020 $a 9789819657766 $q (paper)
024 7 $a 10.1007/978-981-96-5777-3 $2 doi
035 $a 978-981-96-5777-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TD890
072 7 $a RN $2 bicssc
072 7 $a PBW $2 bicssc
072 7 $a SCI026000 $2 bisacsh
072 7 $a RN $2 thema
072 7 $a PBW $2 thema
082 0 4 $a 628.53 $2 23
090 $a TD890 $b .L783 2025
100 1 $a Liu, Hui. $3 1063190
245 1 0 $a Data science in air quality monitoring $h [electronic resource] / $c by Hui Liu, Yanfei Li, Zhu Duan.
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xxii, 239 p. : $b ill., digital ; $c 24 cm.
490 1 $a Engineering applications of computational methods, $x 2662-3374 ; $v v. 23
505 0 $a 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.
520 $a 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.
650 2 4 $a Pollution. $3 565431
650 2 4 $a Data Engineering. $3 1226308
650 2 4 $a Data Science. $3 1174436
650 2 4 $a Environmental Monitoring. $3 894984
650 1 4 $a Mathematical Applications in Environmental Science. $3 1366053
650 0 $a Data mining. $3 528622
650 0 $a Air quality $x Measurement $x Data processing. $3 1489013
700 1 $a Duan, Zhu. $3 1489012
700 1 $a Li, Yanfei. $e author. $3 1402144
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Engineering applications of computational methods ; $v v. 15. $3 1417349
856 4 0 $u https://doi.org/10.1007/978-981-96-5777-3
950 $a Earth and Environmental Science (SpringerNature-11646)