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Full Description
This book constitutes the refereed conference proceedings of the 7th International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2024, held in Ilorin, Nigeria, during August 6-8, 2024.
The 15 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in the below following topics such as : Smart, Sustainable Cities and Climate Change Management; Innovation in Healthcare Systems; Environmental Monitoring, Smart Agriculture and Smart Education.
Contents
.- Smart, Sustainable Cities and Climate Change Management.
.- Perceptions of South African Residents on Alternative Energy Sources in Mitigating Load Shedding.
.- Development of Microservice Application for Environment Monitoring.
.- Real-time Surveillance Network System for Traffic Monitoring and Reporting.
.- Curation and Annotation of an Indigenous Bible Corpus for Named Entity Recognition Model.
.- Selected Applications of Artificial Intelligence in Pursuing the Sustainable Development Goals.
.- Innovation in Healthcare Systems.
.- Early Detection of Pregnancy Complications Using Deep Learning Techniques.
.- Deep Learning-Based Music Emotion Analysis and Its Application in Music Therapy.
.- A Video-Based Gender Classification System Using White Shark Optimizer based Support Vector Machine.
.- Optimization-Improved Genetic Algorithms and Advanced Classification Techniques for Efficient Big Data Analysis.
.- Health Monitoring System for Underground Miners.
.- Environmental Monitoring, Smart Agriculture and Smart Education.
.- EduSim: a multi-agent model for simulating the impacts of urban and demographic growth on school infrastructures demand and offer in the city of Ouagadougou.
.- Designing an e-Voting System based on Blockchain and Smart Contracts in Developing Countries.
.- Artificial Intelligence Influence on Learner Outcomes in Distance Education: A Process-Based Framework and Research Model.
.- Assessment of students' performance using Machine Learning: A bibliometric study.
.- Optimization and Prediction of Crop Yields with Machine Learning: A Bibliometric Analysis.
