Articles liés à Data Science in Air Quality Monitoring
Synopsis
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.
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À propos de l?auteur
Dr. Hui Liu is a Full Professor in the field of Artificial Intelligence, Smart Cities and Smart Energy at Central South University (CSU), China. Prof. Liu is the director of Institute of Artificial Intelligence and Robotics at CSU. He received double Ph.D degrees from Central South University (China) in 2011 and University of Rostock (Germany) in 2013, respectively. He received habilitation degree from University of Rostock in 2016. He was appointed as the BMBF junior group leader by the Ministry of Education and Research of Germany at University of Rostock since January, 2015 until December 2016.
Dr. Yanfei Li is an Associate Professor in the field of Artificial Intelligence, Smart Agriculture and Smart Energy at Hunan Agricultural University (HAU), China. Prof. Li is the director of Institute of Artificial Intelligence at HAU. She received Ph.D degree from University of Rostock (Germany) in 2014 then worked as a postdoctoral fellow at University of Rostock in 2015.
Dr. Zhu Duan is an assistant researcher in the field of Data Science at Central South University. Dr. Duan focuses on the research of time series prediction. He was selected as the Postdoctoral Fellowship Program of CPSF and Xiaohe Science and Technology Talent of Hunan Province in China.
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Data Science in Air Quality Monitoring
Edité par
Springer-Verlag Gmbh Jun 2025, 2025
ISBN 10 : 9819657768
ISBN 13 : 9789819657766
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 239 pp. Englisch. N° de réf. du vendeur 9789819657766
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Data Science in Air Quality Monitoring (Hardcover)
Edité par
Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 9819657768
ISBN 13 : 9789819657766
Neuf
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Hardcover. Etat : new. Hardcover. 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. This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9789819657766
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Data Science in Air Quality Monitoring
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Springer Nature Singapore, Springer Nature Singapore Jun 2025, 2025
ISBN 10 : 9819657768
ISBN 13 : 9789819657766
Neuf
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. N° de réf. du vendeur 9789819657766
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Data Science in Air Quality Monitoring
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10 : 9819657768
ISBN 13 : 9789819657766
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9789819657766
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Data Science in Air Quality Monitoring (Engineering Applications of Computational Methods, 23)
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Data Science in Air Quality Monitoring (Hardcover)
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Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 9819657768
ISBN 13 : 9789819657766
Neuf
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Hardcover. Etat : new. Hardcover. 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. This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789819657766
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Data Science in Air Quality Monitoring
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Data Science in Air Quality Monitoring
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Data Science in Air Quality Monitoring
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Data Science in Air Quality Monitoring (Hardcover)
Edité par
Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 9819657768
ISBN 13 : 9789819657766
Neuf
Couverture rigide
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
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Hardcover. Etat : new. Hardcover. 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. This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789819657766
Quantité disponible : 1 disponible(s)