Machine Learning in Data Processing

Author:   Xiang-Sheng Wang ,  Chisheng Wang
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032208545


Pages:   119
Publication Date:   20 May 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Machine Learning in Data Processing


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Author:   Xiang-Sheng Wang ,  Chisheng Wang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032208545


ISBN 10:   3032208548
Pages:   119
Publication Date:   20 May 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Dr. Xiang-Sheng Wang earned his Ph.D. in Mathematics in 2009 from City University of Hong Kong, in a program jointly awarded by the University of Science and Technology of China. He is currently an Associate Professor in the Department of Mathematics at the University of Louisiana at Lafayette. His research focuses on asymptotic analysis, computational mathematics, and mathematical biology. Dr. Wang has extensive teaching experience across both undergraduate and graduate levels, offering courses such as Numerical Analysis, Machine Learning for Beginners, Numerical Methods, Differential Equations, and Advanced Mathematics for Engineers and Scientists. Dr. Chisheng Wang received the B.S. degree from Beijing Normal University, Beijing, China, the M.S. degree from the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, and the Ph.D. degree from the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. He is currently a Professor in the Department of Urban Informatics, School of Architecture & Urban Planning, Shenzhen University, Shenzhen, Guangdong, China. His research interests include image processing and remote sensing applications.

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