Urban Intelligence and Applications : Proceedings of ICUIA 2019 / edited by Xiaohui Yuan, Mohamed Elhoseny

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Distributed Intelligence | Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(X, 252 p. 89 illus., 65 illus. in color.)ISBN:

9783030450991

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Additional physical formats: 9783030450984 | 9783030451004 | 9783030451011 | Erscheint auch als: 9783030450984 Druck-Ausgabe | Erscheint auch als: 9783030451004 Druck-Ausgabe | Erscheint auch als: 9783030451011 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-45099-1Online resources:

Summary: Chapter 1 -- Urban sustainability. Chapter 2 -- Urban management and Applications. Chapter 3 -- Smart City Applications. Chapter 4 -- Image and Signal Processing. Chapter 5 -- Natural Language Processing. Chapter 6 -- Machine Learning and Applications. .Summary: This volume presents selected papers from the International Conference on Urban Intelligence and Applications (ICUIA), which took place on May 10-12, 2019 in Wuhan, China. The goal of the conference was to bring together researchers, industry leaders, policy makers, and administrators to discuss emerging technologies and their applications to advance the design and implementation of intelligent utilization and management of urban assets, and thus contributing to the autonomous, reliable, and efficient operation of modern, smart cities. The papers are collated to address major themes of urban sustainability, urban infrastructure and management, smart city applications, image and signal processing, natural language processing, and machine learning for monitoring and communications applications. The book will be of interest to researchers and industrial practitioners working on geospatial theories and tools, smart city applications, urban mobility and transportation, and community well-being and management.PPN: PPN: 1724270575Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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