Smart Cities: A Data Analytics Perspective (Lecture Notes in Intelligent Transportation and Infrastructure) [Hardcover] Khan, Mohammad Ayoub; Algarni, Fahad and Quasim, Mohammad Tabrez

Khan, Mohammad Ayoub; Algarni, Fahad; Quasim, Mohammad Tabrez

ISBN 10: 3030609219 / ISBN 13: 9783030609214

Published by Springer, 2020

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unread, like new. Seller Inventory # CEA-2304C-TEPPICHMIRE-05-1000

Bibliographic Details

Title: Smart Cities: A Data Analytics Perspective (...

Publisher: Springer

Publication Date: 2020

Binding: Hardcover

Condition: As New

Edition: 1. Auflage

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Synopsis:

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms.  There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.