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3rd EAI International Conference on IoT in Urban Space

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Cover of '3rd EAI International Conference on IoT in Urban Space'

Table of Contents

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    Book Overview
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    Chapter 1 CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications
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    Chapter 2 Ethical and Social Aspects of Connected and Autonomous Vehicles: A Focus on Stakeholders’ Responsibility and Customers’ Willingness to Share Data
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    Chapter 3 Evaluating Street Networks for Predictive Policing
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    Chapter 4 Challenges in Using IoT in Public Spaces
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    Chapter 5 Exploring New Digital Affordances of City Life
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    Chapter 6 A Comprehensive View on Quality Characteristics of the IoT Solutions
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    Chapter 7 Connected Vehicles in the Shark Tank: Rethinking the Challenge for Cybersecurity to Keep Pace with Digital Innovation
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    Chapter 8 AudioIO: Indoor Outdoor Detection on Smartphones via Active Sound Probing
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    Chapter 9 Day-Ahead Load Forecasting Based on Conditional Linear Predictions with Smoothed Daily Profile
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    Chapter 10 GANonymizer: Image Anonymization Method Integrating Object Detection and Generative Adversarial Network
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    Chapter 11 Performance Evaluation of Source Routing Minimum Cost Forwarding Protocol Over 6TiSCH Applied to the OpenMote-B Platform
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    Chapter 12 Analysis of Time of Use and Intermodality of Ride-Hailing Services in Singapore Using Mobile Web Traffic Data
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    Chapter 13 An Exploratory Study of Relations Between Site Features and I2V Link Performance
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    Chapter 14 Urban Landscape Revolution: The Potential of Connected Vehicles and Their Impact on the Mobility Ecosystem
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    Chapter 15 Review of Technological and Economic Considerations on Future Vehicle Design: Autonomous, Connected, Electric, and Shared Vehicles
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Title
3rd EAI International Conference on IoT in Urban Space
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-28925-6
ISBNs
978-3-03-028924-9, 978-3-03-028925-6
Editors

José, Rui, Van Laerhoven, Kristof, Rodrigues, Helena

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%