Emerging Technologies for Developing Countries (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Enginee) （2026. x, 530 S. X, 530 p. 235 mm）

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Emerging Technologies for Developing Countries (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Enginee) （2026. x, 530 S. X, 530 p. 235 mm）

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 530 p.
  • 言語 ENG
  • 商品コード 9783032166340

Full 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.

Contents

.- Emerging Technologies for Advancing Healthcare and Wellbeing.

.- AI-Powered Chatbot for Personalized Sports Training: Enhancing Engagement with LLM and RAG Architecture.

.- Cure-Free: A Free-Model Reinforcement Learning approach for the ADHD children.

.- The Impact of an AI-Enhanced Training on Student Wellbeing and Quality Education: ResilienceBOT Case Study.

.- Deep Learning Based Methods for Breast Cancer Diagnosis.

.- An AIoT Solution for Sleep Apnea prediction using ECG Signals.

.- Enhanced Agentic RAG System with Specialized Knowledge Indices for Orthopedic Sports Medicine.

.- Virtual Coaching Systems: MINDSCAPE a Mental Health Application.

.- Advances in Industrial, Manufacturing, and Structural Systems.

.- A Deep Learning Approach for Supply Chain Risk Prediction.

.- Object Detection System for Estimating Volume and Weight of Fruits and Vegetables.

.- A Hybrid Markov- Machine Learning Pipeline for Anomaly Detection in OPC UA Communication: Comparative Study of Isolation Forest and One-Class SVM.

.- Advancing Human-Robot Interaction for Smart Disassembly with artificial intelligence: Case of real-time voice controlled for a Cobot.

.- The Maghreb in the Era of Industry 4.0 Opportunities and Challenges.

.- Human Beings at the Heart of Education 4.0 and Lean Management: A Synergy for Industrial Competitiveness.

.- Identifying Electrochemical Parameters of PEMFC Fuel Cells by Artificial Intelligence: Methods, Results and Industrial Perspectives.

.- Machine Learning-Based Prediction of Aluminium Metal Matrix Composite Properties Reinforced with Biomass Ash.

.- AI-Powered System for Detecting Structural Pathologies in Civil Engineering Using CNNs: Aigis.

.- Smart Cities and Smart Agriculture.

.- Enhancing Food Security Through Intelligent Decision Support: A Crop Decision Framework for Small-Scale Farmers In South Africa.

.- Temperature and Humidity Chipless RFID Sensors using smart materials for Agritech Applications.

.- AI-Enhanced Intelligent Transplantation Machine Based on IoT for Optimized Plant Growth.

.- A Bibliometric Review of the Application of Artificial Intelligence in Emergency Care Units: Trends and Research Agenda.

.- An Improved Fire Detection and Classification System.

.- Transforming Real Estate Pricing in Tunisia: A Machine Learning Framework with Perspectives on Large Language Models.

.- Emerging Technologies for Higher Education.

.- Artificial Intelligence in higher Education: A Framework for Enhancing Metacognition through Human-Machine Collaboration.

.- Evaluation of Large Language Models in Simulating Real-world Engineering Scenarios and Decision Making: A Comparative Study of ChatGPT-4o, Gemini, and Perplexity.

.- Harnessing Generative AI to Enhance Critical Thinking and Active Learning in a Second-Year English Language Project for Engineering Students.

.- Securing Higher Education Through DevSecOps Framework.

.- NextLearn: A Context-Aware Adaptive Learning Platform.

.- Use of a Retrieval-Augmented Generation (RAG) Chatbot for First-Year Engineering Education at ESPRIT.

.- A Systematic Review of Artificial Intelligence in Predicting Undergraduate Degree Completion.

.- Evalia: Artificial Intelligence and Human Judgment for the Evaluation of Oral Presentations.

.- Enhancing student-centric learning approaches and exploring AI integration.

.- Gamification in STEM Education: Designing Adaptive Scoring Systems for Student Classification.

.- A PPBL Pedagogy for Transforming Engineering Education at ESPRIT School of Engineering.