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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
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Title
Emerging Technologies for Developing Countries
Published by
Springer Nature Switzerland, July 2023
DOI 10.1007/978-3-031-35883-8
ISBNs
978-3-03-135882-1, 978-3-03-135883-8
Editors

Masinde, Muthoni, Bagula, Antoine

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