Oluwatope / Dahunsi / Enaruvbe Towards New e-Infrastructure and e-Services for Developing Countries

17th EAI International Conference, AFRICOMM 2025, Ile-Ife, Nigeria, November 24-25, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-38682-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 252 Seiten

Reihe: Springer Nature Proceedings Computer Science

This book constitutes the refereed proceedings of the 17th EAI International Conference on International Conference on Towards new e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2025, held in Ile-Ife, Nigeria, during November 24–25, 2025.

The 15 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are organised into the following topics: Emerging Networks; Cybersecurity; Artificial Intelligence/ Machine Learning; Applications of AI in Health & Agriculture; and IoTs, Blockchain & Energy.

Zielgruppe

Research

Autoren/Hrsg.

Oluwatope, Ayodeji

Dahunsi, Folashade

Enaruvbe, Glory

Chellappan, Kalaivani

Inhaltsverzeichnis

.- Emerging Networks.

.-  Implementation steps of the SDN-CLOAK architecture.

.- MetricTest: A Client-Side Performance Measurement Tool
for Wireless Community Networks in Rural Areas.

.- Traffic-Aware Dynamic Pricing in LTE: A Deep Learning
Approach.

.- Cybersecurity.

.- On the security of pre-installed Android apps in low-cost
devices.

.-  Towards Innovative Intelligent Cyber Defense Approach
Based on Deceptive Security and Deep Learning Techniques.

.- Artificial Intelligence/ Machine Learning.

.- A Case Study on Hyperparameter Optimization Methods
in Scholarship Eligibility Prediction Using Neural Networks.

.- Machine-Learning Based Prediction of Generator Runtime:
A predictive maintenance solution for a telecommunications
site.

.- Ethical Framework for Integrating Artificial Intelligence in
Education: Guidelines and Standards.

.- Towards a Real-Time Mobile-Based Driver Behavior
Monitoring Using Lightweight Deep Learning Models.

.- Applications of AI in Health & Agriculture.

.- Developing Fully Autonomous Wireless Monitoring
Systems for Smallholder Farmers Communities.

.- Preliminary Result in the Detection of four Varieties of
Mangoes with yolo11: Amélie, Kent, Mangot vert, Brooks.

.- AI Framework for E-Health: Validating EfficientNetV2s
for Automated Diabetic Retinopathy Screening in Low
Resource Settings.

.- IoTs, Blockchain & Energy.

.- Towards Real-Time IoT-Driven Air Condition Monitor-ing
for Factory Environments- A Uganda Industrial Case Study.

.- A Blockchain-Based Land Registration System: A Case
Study of Somalia.

.- Towards a Systematic Framework for UAV Energy Model
Selection.