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Smart and Digital Cities

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Cover of 'Smart and Digital Cities'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Urban Mobility in Multi-Modal Networks Using Multi-Objective Algorithms
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    Chapter 3 Urban Transport and Traffic Systems: An Approach to the Shortest Path Problem and Network Flow Through Colored Graphs
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    Chapter 4 An Adaptive Large Neighborhood Search Heuristic to Solve the Crew Scheduling Problem
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    Chapter 5 Proposal for Analysis of Location of Popular Residential Using the p-Median
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    Chapter 6 An Ant Colony System Metaheuristic Applied to a Cooperative of Recyclable Materials of Sorocaba: A Case Study
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    Chapter 7 Multilevel Optimization Applied to Project of Access Networks for Implementation of Intelligent Cities
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    Chapter 8 An Experimental Study of Regression Techniques for the Residential Energy Consumption Forecast in the Brazilian Scenario
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    Chapter 9 Simulation and Evaluation of a Model for Assistive Smart City
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    Chapter 10 Realistic Vehicular Networks Simulations
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    Chapter 11 LoRaWan: Low Cost Solution for Smart Cities
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    Chapter 12 Digital Cities and Emerging Technologies
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    Chapter 13 A Multicriteria View About Judicial and Legislative Decision Making in Digital Cities and Societies
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    Chapter 14 Smart Planning: Tools, Concepts, and Approaches for a Sustainable Digital Transformation
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    Chapter 15 When CI and Decentralized Systems Effectively Meet Smart Cities and Grids
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    Chapter 16 Optimal Energy Trading Policy for Solar-Powered Microgrids: A Modeling Approach Based on Plug-in Hybrid Electric Vehicles
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    Chapter 17 UAVs and Their Role in Future Cities and Industries
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    Chapter 18 Critical Systems for Smart Cities: Towards Certifying Software
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1 tweeter

Citations

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2 Dimensions

Readers on

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4 Mendeley
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Title
Smart and Digital Cities
Published by
Springer International Publishing, April 2019
DOI 10.1007/978-3-030-12255-3
ISBNs
978-3-03-012254-6, 978-3-03-012255-3
Editors

Nazário Coelho, Vitor, Machado Coelho, Igor, A.Oliveira, Thays, Ochi, Luiz Satoru

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 75%
Lecturer 1 25%
Readers by discipline Count As %
Engineering 2 50%
Computer Science 1 25%
Linguistics 1 25%