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Emerging Technologies for Developing Countries de Muthoni Masinde

Emerging Technologies for Developing Countries

Editat de Muthoni Masinde, Antoine Bagula
en Limba Engleză Paperback – 6 iul 2023
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 from 24 submissions. They were organized in topical sections as follows: answer set programming; Education in the 4IR Era, Opportunities for driving Efficiencies and Effectiveness, Key 4IR Baseline Architectures, Application of 4IR in Environment and Agriculture Monitoring.
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Specificații

ISBN-13: 9783031358821
ISBN-10: 3031358821
Pagini: 240
Ilustrații: XII, 225 p. 130 illus., 106 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:1st edition 2023
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

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.