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Titolo: | Emerging Technologies for Developing Countries : 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings / / edited by Muthoni Masinde, Antoine Bagula |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (231 pages) |
Disciplina: | 060 |
338.064091724 | |
Soggetto topico: | Computer networks |
Artificial intelligence | |
Microprogramming | |
Computer Communication Networks | |
Artificial Intelligence | |
Control Structures and Microprogramming | |
Persona (resp. second.): | MasindeMuthoni |
BagulaAntoine | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | 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 -- A Comparison 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Emerging Technologies for Developing Countries |
ISBN: | 3-031-35883-X |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910734855803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilitĂ qui |