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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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Mentioned by

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3 tweeters

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5 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 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%