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Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Overview of attention for book
Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Challenges and Opportunities in Secure Smart Cities for Enhancing the Security and Privacy
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    Chapter 2 Reliability and Security of Edge Computing Devices for Smart Cities
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    Chapter 3 Artificial Intelligence in Smart City-Systematic Literature Review of Current Knowledge and Future Research Avenues
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    Chapter 4 Predictive Farmland Optimization and Crop Monitoring Using Artificial Intelligence Techniques
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    Chapter 5 Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0
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    Chapter 6 Evolving of Smart Banking with NLP and Deep Learning
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    Chapter 7 Blockchain Based Smart Card for Smart City
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    Chapter 8 Blockchain-Powered Smart E-Healthcare System: Benefits, Use Cases, and Future Research Directions
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    Chapter 9 A Comprehensive Review of Wireless Medical Biosensor Networks in Connected Healthcare Applications
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    Chapter 10 Smart Intelligent System for Cervix Cancer Image Classification Using Google Cloud Platform
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    Chapter 11 IoT and an Intelligent Cloud-Based Framework to Build a Smart City Traffic Management System
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    Chapter 12 Emersion and Immersion of Technology in the Development of Smart Cities: A Bibliometric Analysis
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    Chapter 13 Examining Social Media, Citizen Engagement and Risk Communication: A Smart City Perspective
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    Chapter 14 5G and 6G Technologies for Smart City
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    Chapter 15 Software Defined Virtual Clustering-Based Content Distribution Mechanism in VNDN
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    Chapter 16 Sustainable Energy Usage in Urban and Rural Context-A Study
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Title
Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
Published by
Springer International Publishing, January 2023
DOI 10.1007/978-3-031-22922-0
ISBNs
978-3-03-122921-3, 978-3-03-122922-0
Editors

Mohd Abdul Ahad, Gabriella Casalino, Bharat Bhushan

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 13 26%
Student > Master 5 10%
Student > Ph. D. Student 3 6%
Other 2 4%
Lecturer > Senior Lecturer 1 2%
Other 3 6%
Unknown 23 46%
Readers by discipline Count As %
Unspecified 13 26%
Engineering 5 10%
Business, Management and Accounting 2 4%
Computer Science 2 4%
Social Sciences 2 4%
Other 2 4%
Unknown 24 48%

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