Emerging Technologies for Developing Countries 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings
by
 
Masinde, Muthoni. editor. (orcid)

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

Author
Masinde, Muthoni. editor. (orcid)

ISBN
9783031358838

Edition
1st ed. 2023.

Physical Description
XII, 225 p. 130 illus., 106 illus. in color. online resource.

Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 503

Contents
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.

Added Author
Masinde, Muthoni.
 
Bagula, Antoine.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-35883-8


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520485-1001ONLINEElektronik Kütüphane