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Web and Wireless Geographical Information Systems

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Cover of 'Web and Wireless Geographical Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Geosensor Network Optimisation to Support Decisions at Multiple Scales
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    Chapter 2 Towards Integration of Spatial Context in Building Energy Demand Assessment Supported by CityGML Energy Extension
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    Chapter 3 A Three-Stage Framework to Estimate Pedestrian Path by Using Signaling Data and Surveillance Video
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    Chapter 4 Investigating the Navigational Behavior of Wheelchair Users in Urban Environments Using Eye Movement Data
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    Chapter 5 A New Approach for Accessibility Assessment of Sidewalks for Wheelchair Users Considering the Sidewalk Traffic
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    Chapter 6 Mobility Data Analytics with KNOT: The KNime mObility Toolkit
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    Chapter 7 Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities
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    Chapter 8 A Novel GIS-Based Machine Learning Approach for the Classification of Multi-motorized Transportation Modes
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    Chapter 9 CIMEMountainBot: A Telegram Bot to Collect Mountain Images and to Communicate Information with Mountain Guides
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    Chapter 10 A Novel Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Dataset
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    Chapter 11 Geovisualisation Generation from Semantic Models: A State of the Art
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    Chapter 12 A Heterogeneous Information Attentive Network for the Identification of Tourist Attraction Competitors
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    Chapter 13 Poly -GAN: Regularizing Polygons with Generative Adversarial Networks
Attention for Chapter 10: A Novel Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Dataset
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Chapter title
A Novel Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Dataset
Chapter number 10
Book title
Web and Wireless Geographical Information Systems
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-34612-5_10
Book ISBNs
978-3-03-134611-8, 978-3-03-134612-5
Authors

Moradi, Milad, Roche, Stéphane, Mostafavi, Mir Abolfazl

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 20%
Professor > Associate Professor 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 1 20%
Unknown 2 40%