Overview
- Presents papers from the International Conference on Urban Intelligence and Applications 2019
- Addresses strategies to innovate and manage urban spaces to improve livability and accessibility
- Discusses emerging technologies and their applications in the operation of modern, smart cities
Part of the book series: Studies in Distributed Intelligence (SDI)
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Table of contents (18 papers)
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Xiaohui Yuan received a Ph.D. degree in Computer Science from the Tulane University in 2004. He is currentlyan Associate Professor in the Department of Computer Science and Engineering, University of North Texas. He is the director of the Computer Vision and Intelligent Systems Lab at the University of North Texas. His research interests include computer vision, data mining, machine learning, and artificial intelligence. His research is supported by Air Force Lab, National Science Foundation, Texas Advanced Research Program, Oak Ridge Associated Universities, and UNT. His research findings are reported in over 130 peer-reviewed papers. Dr. Yuan is a recipient of Ralph E. Powe Junior Faculty Enhancement award in 2008 and the Air Force Faculty Fellowship in 2011, 2012, and 2013. He also received two research awards and a teaching award from UNT in 2007, 2008, and 2012, respectively. He served on the editorial board of several international journals and guest-edited several special issues. He is the general chair, program committee chairs, and session chairs in many conferences. He also servesas a panel reviewer for funding agencies including NSF, NASA, NIH, and Louisiana Board of Regent’s Research Competitiveness program.
Bibliographic Information
Book Title: Urban Intelligence and Applications
Book Subtitle: Proceedings of ICUIA 2019
Editors: Xiaohui Yuan, Mohamed Elhoseny
Series Title: Studies in Distributed Intelligence
DOI: https://doi.org/10.1007/978-3-030-45099-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-45098-4Published: 26 June 2020
Softcover ISBN: 978-3-030-45101-1Published: 26 June 2021
eBook ISBN: 978-3-030-45099-1Published: 25 June 2020
Series ISSN: 2662-3706
Series E-ISSN: 2662-3714
Edition Number: 1
Number of Pages: X, 252
Number of Illustrations: 24 b/w illustrations, 65 illustrations in colour
Topics: Machine Learning, Urban Geography / Urbanism (inc. megacities, cities, towns), IT in Business, Complex Systems