Emerging Technologies for Developing Countries 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings /

This book constitutes the refereed conference proceedings of the 5th International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2022, held in Bloemfontein, South Africa, in December 5-7, 2022. The 14 full papers included in this book were carefully reviewed and selected fr...

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保存先:
書誌詳細
団体著者: SpringerLink (Online service)
その他の著者: Masinde, Muthoni (編集者), Bagula, Antoine (編集者)
フォーマット: 電子媒体 eBook
言語:英語
出版事項: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
版:1st ed. 2023.
シリーズ:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 503
主題:
オンライン・アクセス:https://doi.org/10.1007/978-3-031-35883-8
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目次:
  • Education in the 4IR Era
  • Reinforcement Learning in Education: A Multi-Armed Bandit Approach
  • Assessing Institutional Readiness for the Fourth Industrial Revolution: Using Learning Analytics to Improve Student Experiences
  • M-learning during COVID-19: A Systematic Literature Review
  • Opportunities for driving Efficiencies and Effectiveness
  • Archiving 4.0: Dataset Generation and Facial recognition of DRC political Figures Using Machine Learning
  • On the Machine Learning Models To Predict Town-scale Energy Consumption In Burkina Faso
  • Application of Latent Dirichlet Allocation topic model in identifying 4IR Research Trends
  • A conceptual model for the digital inclusion of SMMEs in the Informal Sector in South Africa - The use of Blockchain Technology to access loans
  • Key 4IR Baseline Architectures
  • Multiple Robotic Formation Control Based on Differential Flatness
  • AComparison of Publish-Subscribe and Client-Server Models for Streaming IoT Telemetry data
  • Fourth industrial revolution research outputs in Africa: A bibliometric review
  • Modelling DDoS Attacks in IoT Networks using Machine Learning
  • Application of 4IR in Environment and Agriculture Monitoring
  • Towards a microservice-based middleware for a multi-hazard early warning system
  • Indigenous Knowledge mobile-based application that quantifies farmers’ season predictions with the help of scientific knowledge
  • Weed Identification in Plant Seedlings Using Convolutional Neural Networks.