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: 978-3-032-38681-6
Verlag: Springer

Buch, Englisch, Band 713, 252 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Computerkriminalität & Hacking
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

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.