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Emerging Technologies for Developing Countries

Overview of attention for book
Cover of 'Emerging Technologies for Developing Countries'

Table of Contents

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    Book Overview
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    Chapter 1 Internet of Things-Based Framework for Public Transportation Fleet Management in Non-smart City
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    Chapter 2 A Middleware for Cyber Physical Systems in an Internet of Things Environment: Case of for Mobile Asset Tracking
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    Chapter 3 Signal Processing, Control and Coordination in an Intelligent Connected Vehicle
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    Chapter 4 Embedding a Digital Wallet to Pay-with-a-Selfie, from Functional Requirements to Prototype
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    Chapter 5 A Predictive Model for Automatic Generation Control in Smart Grids Using Artificial Neural Networks
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    Chapter 6 Exploring Users’ Continuance Intention Towards Mobile SNS: A Mobile Value Perspective
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    Chapter 7 Smartphone Cyber Security Awareness in Developing Countries: A Case of Thailand
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    Chapter 8 Development of an Artificial Neural Network Model for Predicting Surface Water Level: Case of Modder River Catchment Area
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    Chapter 9 UmobiTalk: Ubiquitous Mobile Speech Based Translator for Sesotho Language
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    Chapter 10 Embedding a Digital Wallet to Pay-with-a-Selfie, Defining the System Architecture as Blockchain Based
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    Chapter 11 Practical Method for Evaluating the Performance of a Biometric Algorithm
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    Chapter 12 Software Defined Networking (SDN) for Universal Access
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    Chapter 13 Awale Game: Application Programming Interface and Augmented Reality Interface
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    Chapter 14 Vector Space Model of Text Classification Based on Inertia Contribution of Document
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    Chapter 15 Mood and Personality Influence on Emotion
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    Chapter 16 Two Parallelized Filter Methods for Feature Selection Based on Spark
Overall attention for this book and its chapters
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Citations

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Title
Emerging Technologies for Developing Countries
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-05198-3
ISBNs
978-3-03-005197-6, 978-3-03-005198-3
Editors

Zitouni, Rafik, Agueh, Max

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.
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 %
Lecturer 2 40%
Student > Master 2 40%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Business, Management and Accounting 1 20%
Linguistics 1 20%
Unknown 1 20%