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Emerging Technologies for Developing Countries

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Cover of 'Emerging Technologies for Developing Countries'

Table of Contents

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    Book Overview
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    Chapter 1 Reinforcement Learning in Education: A Multi-armed Bandit Approach
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    Chapter 2 Assessing Institutional Readiness for the Fourth Industrial Revolution: Using Learning Analytics to Improve Student Experiences
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    Chapter 3 M-learning During COVID-19: A Systematic Literature Review
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    Chapter 4 Archiving 4.0: Dataset Generation and Facial Recognition of DRC Political Figures Using Machine Learning
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    Chapter 5 On the Machine Learning Models to Predict Town-Scale Energy Consumption in Burkina Faso
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    Chapter 6 Application of Latent Dirichlet Allocation Topic Model in Identifying 4IR Research Trends
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    Chapter 7 A Conceptual Model for the Digital Inclusion of SMMEs in the Informal Sector in South Africa - The Use of Blockchain Technology to Access Loans
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    Chapter 8 Multiple Mobile Robotic Formation Control Based on Differential Flatness
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    Chapter 9 A Comparison of Publish-Subscribe and Client-Server Models for Streaming IoT Telemetry Data
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    Chapter 10 Fourth Industrial Revolution Research Outputs in Africa: A Bibliometric Review
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    Chapter 11 Modelling DDoS Attacks in IoT Networks Using Machine Learning
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    Chapter 12 Towards a Microservice-Based Middleware for a Multi-hazard Early Warning System
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    Chapter 13 Indigenous Knowledge Mobile Based Application that Quantifies Farmers’ Season Predictions with the Help of Scientific Knowledge
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    Chapter 14 Weed Identification in Plant Seedlings Using Convolutional Neural Networks
Attention for Chapter 1: Reinforcement Learning in Education: A Multi-armed Bandit Approach
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Chapter title
Reinforcement Learning in Education: A Multi-armed Bandit Approach
Chapter number 1
Book title
Emerging Technologies for Developing Countries
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-35883-8_1
Book ISBNs
978-3-03-135882-1, 978-3-03-135883-8
Authors

Combrink, Herkulaas MvE, Marivate, Vukosi, Rosman, Benjamin

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The data shown below were collected from the profile of 1 X user 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 %
Unspecified 1 20%
Unknown 4 80%
Readers by discipline Count As %
Unspecified 1 20%
Computer Science 1 20%
Unknown 3 60%