Emerging Technologies for Developing Countries
Description
This two-volume set LNICST 676-677 constitutes the refereed proceedings of the 8th EAI International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2025, held in Tunis, Tunisia, during June 11-13, 2025.
The 49 full papers and 8 short papers included in these volumes were carefully reviewed and selected from 138 submissions. They are organized in the following topical sections:
Part I: Emerging Technologies for Advancing Healthcare and Wellbeing; Advances in Industrial, Manufacturing, and Structural Systems; Smart Cities and Smart Agriculture; and Emerging Technologies for Higher Education.
Part II: Intelligent Networking and Cybersecurity; Data Processing and Knowledge Representation; Emerging Technologies for Sustainable Development; and Technology Adoption and Management.
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Content
.- Intelligent Networking and Cybersecurity .
.- Blockchain Based Task Offloading for Parked Vehicular Cloud.
.- A Context-Aware Biometric Access Control Framework Powered by Large Language Models.
.- Innovative and Secure Private Key Synchronization Mechanism between Devices Using Peer-to-Peer Approach in Passkeys System.
.- Resilience of SMEs in Nigeria to Cyber Threats.
.- A Deep Learning Approach for Accurate Spam Detection in Text.
.- Optimizing SQL Injection Detection: A Comparative Analysis of Embedding Methods with XGBoost.
.- StudyVerse: Virtual Reality Network Lab.
.- Data Processing and Knowledge Representation .
.- The Advisor: AI-Powered Sentiment Analysis for Multilingual Customer Feedback.
.- A Comparative Study on Data Augmentation Techniques for Arabic Text Classification.
.- Enhancing Multi-Answer Query Performance with Knowledge Graphs.
.- Generative AI for Intelligent Data Extraction: A Case Study in Automated Excel-to-SQL with Human Oversight.
.- Emerging Technologies for Sustainable Development .
.- Survey on the Integration of AI in UAVs and Satellites for Sustainable Development in Africa.
.- Artificial Intelligence-Based Traffic Light Control System for Sustainable Urban Mobility and Environmental Impact Reduction.
.- From Pixels to Policy: A Tunisian Quality Index for Urban Sustainability.
.- Advanced Spatio-Temporal Modeling of Seagrass Meadows Through Machine Learning Techniques.
.- Under Partial Shading Conditions in PV Systems, a Comparative Study of Particle Swarm Optimization and Polar Optimization Algorithms for MPPT.
.- Sustainable development backward prediction using a hybrid Deep learning Arima model with an auto-ARIMA selection criteria.
.- Emerging Technologies for Sustainable Development.
.- Comparative Analysis of Machine Learning Regression Models for Pollutant Concentration Prediction.
.- Classification of Sectoral Performance in the Tunisian Stock Market.
.- Technology Adoption and Management .
.- From Algorithms to Adoption: Extending UTAUT2 for AI-driven social commerce.
.- How do AI, self-efficacy, opportunity recognition, and culture influence entrepreneurial intention among engineering students? The moderating role of gender and education.
.- The behavioral Intention to use intelligent devices using an extension of UTAUT model: Case of Tunisian consumers.
.- Enhancing financial inclusion through digital payment solutions in South Africa.