书目名称 | Multi-dimensional Urban Sensing Using Crowdsensing Data | 编辑 | Chaocan Xiang,Panlong Yang,Xiaochen Fan | 视频video | | 概述 | Elaborates the basic workflow for sensing-data-based urban crowdsensing.Addresses fundamental issues in crowdsensing data, including data collection, data transfer, and data application.Discusses futu | 丛书名称 | Data Analytics | 图书封面 |  | 描述 | .Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor’s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009 and 2014, respectively. He subsequently studied at the University of Michigan-Ann Arbor in 2017 (supervised by Prof. Kang G. Shin, IEEE Life Fellow, ACM Fellow). His research interests mainly include UAVs/vehicle-based crowdsensing, urban computing, Internet of Things, Artificial Intelligence, and big data. He has published more than 50 papers, including over 20 in leading venues such as IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE INFOCOM, and ACM Ubicomp. He has received a best paper award and a best poster award at two international conferences...Panlong Yang is a full Professor at the University of Science and Technology of China. He has been supported by the NSF Jiangsu through a Distinguished Young Scholarship and was honored as a CCF Distinguished Lecturer in 2015. He has published over 150 papers, including 40 in CCF Class A. Since 2012, he has supervised 14 master’s and Ph.D. candidates, including two exce | 出版日期 | Book 2023 | 关键词 | Crowdsensing; Internet of Things; Smart city; Sensing data; Big data;; Edge computing; Incentive mechanism | 版次 | 1 | doi | https://doi.org/10.1007/978-981-19-9006-9 | isbn_softcover | 978-981-19-9008-3 | isbn_ebook | 978-981-19-9006-9Series ISSN 2520-1859 Series E-ISSN 2520-1867 | issn_series | 2520-1859 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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