Towards new e-Infrastructure and e-Services for Developing Countries
Description
The two-volume set LNICST 587 + 588 constitutes the refereed proceedings of the EAI 15th International Conference on Africa Internet infrastructure and Services, AFRICOMM 2023, which took place in Bobo-Dioulasso, Burkina Faso, in November 2023.
The 59 full papers presented in these two volumes were carefully reviewed and selected from 72 submissions.
The papers are organized in the following topical sections:
Part I: Digital economy, Digital transformation, e-Government and e-services; ICT infrastructures for critical environmental conditions; Wireless networks; E-health; Cybersecurity and Privacy.
Part II: Systems and cloud computing; Artificial Intelligence; Ontology, data preparation; Responsible Artificial Intelligence for Sustainable Development in Africa (workshop).
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Content
.- Systems and cloud computing.
.- Proposal for a formal definition to the problem of migration of a virtual machine.
.- Investigating Cost-Effective Computing Infrastructure for Schools/Community Centres Using Raspberry PIs.
.- Digital Forensics Investigations: Major Challenges in Mobile and Cloud Forensics.
.- A cloud-based drones' model for detection and tracking of stationary and motion-based snakes in farms in marginalized rural areas: A preliminary study.
.- A Domain Specific Language (DSL) for agro-ecosystems modeling and simulation.
.- Artificial Intelligence.
.- Leveraging Conversational AI for Accelerating User-driven Software Testing.
.- Integration of artificial intelligence with diabetic data for increasingly personalized medicine.
.- Question design using NLP.
.- Edge- AI and Internet of Things for intelligent Systems : Architectures, Applications and Future Perspectives.
.- Comparative study of Name Entity Recognition models in Burkina Faso context.
.- Ontology, data preparation.
.- PLAVIDA, an annotation tool for audio and video in African languages.
.- Towards a framework for the preparation of high quality data for use by machine learning algorithms.
.- CAOGen: An Automatic Ontology Constructor Based on Data Mining Techniques.
.- Responsible Artificial Intelligence for Sustainable Development in Africa (workshop).
.- Artificial Intelligence for the Analysis of the Security Situation in Burkina Faso.
.- Analysis, design and implementation of a ripe mango detection program in Burkina Faso.
.- Financial Fraud Detection Using Rich Mobile Money Transaction Datasets.
.- Culture ontology to enhance social cohesion.
.- New zero watermarking scheme based on hyper-catadioptric system model and hyperbolic geometry.
.- Cotton disease detection on UAV images: A Deep Learning-based approach with YOLOv7.
