Smart cities : a data analytics perspective / Mohammad Ayoub Khan, Fahad Algarni, Mohammad Tabrez Quasim, editors.
2021
TD159.4
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Details
Title
Smart cities : a data analytics perspective / Mohammad Ayoub Khan, Fahad Algarni, Mohammad Tabrez Quasim, editors.
ISBN
9783030609221 (electronic bk.)
3030609227 (electronic bk.)
3030609219
9783030609214
9783030609238 (print)
3030609235
9783030609245 (print)
3030609243
9783030609214
3030609227 (electronic bk.)
3030609219
9783030609214
9783030609238 (print)
3030609235
9783030609245 (print)
3030609243
9783030609214
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (xiv, 319 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-60922-1 doi
Call Number
TD159.4
Dewey Decimal Classification
307.760285
Summary
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.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 24, 2021).
Series
Lecture notes in intelligent transportation and infrastructure. 2523-3440
Available in Other Form
Print version: 3030609219
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Table of Contents
Fundamental of Smart Cities
A context aware big data analytics service-centric process modeling approach
Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood.
A context aware big data analytics service-centric process modeling approach
Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood.