Full Description
This CCIS post conference volume constitutes the proceedings of the 17th International Conference on ICT Innovations, ICT Innovations 2025, held in Ohrid, North Macedonia, in October 11-13, 2025.
The 18 full papers presented in this book were carefully selected and reviewed from 60 submissions.
Contents
.- Session 1
.- Virtual Reality vs Traditional Lectures: A Comparative Study on Student Performance and Engagement.
.- Session 2
.- COINs: Knowledge Graph Inference with Model-based Acceleration.
.- HireMe: A Smart Web Platform for Personalized Job Prospects, CV Insights and Career Guidance.
.- Session 3
.- nmaas in Action: Extending PaaS Use-Cases to Distributed Environments.
.- Matrix approach to Draper's QFT adder.
.- Theoretical Guarantees and Empirical Convergence of Some Classical Binary Classifiers in Malware Detection.
.- Multi-Stage WRF Processing Frameworks: Docker-Based Modularization on Custom High-Performance Clusters.
.- Session 4
.- Fine-Grained Analysis of LSTM Performance for Predicting 6G Handovers.
.- Comparative Analysis and Novel Architectural Integration of AI Models for Next-Generation Intrusion Detection.
.- Evaluating popular network intrusion detection datasets: characteristics and implications for real-world use.
.- A New AFIB Detection Method with Deep Neural Networks.
.- Session 5
.- LLMs as Expert Evaluators: Human-Centric Benchmarking of Task Assessment in AI-Powered Project Management.
.- Application of Large Language Models for Summarization of Medical Papers.
.- Architecting RAG Pipelines with DSPy and Classical Frameworks for Domain-Specific Knowledge Retrieval.
.- Session 6
.- Enhancing Atrial Fibrillation Detection Through Hyperparameter Optimization.
.- The Advantage of Self-Supervised Pre-training to Detect Atrial Fibrillation: Transformer-based vs Traditional Machine Learning Models.
.- AlphaFold-Informed Graph Neural Networks for Drug-Target Affinity Prediction.
.- Hyperparameter optimization of transformer architecture for diagnosis prediction.
