IVUS 2025
Information Society and University Studies 2025

Table of Contents

• Preface
  Summary: There were 56 papers submitted for peer-review to this workshop. Out of these, 36 papers were accepted for this volume.

• Decision Trees Versus Random Forest for DDoS Attack Classification 1–9
  Artur Kostera
• Deep Learning-Based Skin Cancer Classification: a Comparative Study of Pre-Trained CNN Models 10–20
  Mukhriddin Arabboev, Shohruh Begmatov, Mokhirjon Rikhsivoev, Sukhrob Bobojanov, Gayrat Tangriberganov, Jamoliddin Uraimov,
• Predicting Spatial Data of Virtual Reality Hand Tracking Joints with Recurrent Neural Networks 21–29
  Gytis Dokšas, Tomas Blažauskas
• Stealth Tracking: The Hidden Threats of Browser Fingerprinting and Phishing 30–39
  Oleksii Chalyi, Laurynas Pivoras, Kęstutis Driaunys
• Camouflaged Object Detection Using Convolutional Neural Network 40–49
  Karolis Mickevičius, Arūnas Lipnickas
• Privacy-Preserving Model for Decentralized Digital Identity under EU Compliance 50–61
  Mykolas Rutkauskas, Laura Atmanavičiūtė, Saulius Masteika
• Access Control Approach in Microservices Architecture 62–70
  Ernestas Serkovas
• Autonomous Solar Tracking with β-Optimized Particle Filter for Enhanced Performance in Dynamic Shading Environments 71–76
  Ming Huang, Jieming Ma, Ka Lok Man, Sheng-Uei Guan, Xue Zhang
• Enhancing Privacy and Security of Customer Data Management in E-Commerce 77–87
  Linas Ablonskis, Rimantas Butleris, Audrius Lopata, Giedrius Sirevičius, Simonas Stepanovas, Mindaugas Vasiljevas
• Comparative Analysis and Implementation of Zero-Knowledge Proof Libraries for Digital Identity 88–97
  Aristidas Lukas Končius, Gintarė Košubienė, Laura Atmanavičiūtė, Saulius Masteika
• Deep Learning-Based Futsal Field Segmentation: a Comparative Study of YOLOv8 and YOLO11-Pose Models 98–107
  Shohruh Begmatov, Mukhriddin Arabboev, Massimo Zaglio
• VotingAid: A Retrieval-Augmented LLM Approach for Political Decision-Making 108–114
  Nicolas Mahn, Nadeem Abbas
• Digitalization of IT Helpdesk Operations Based on Executable Business Process Models and Artificial Intelligence Technology 115–124
  Saulius Gudauskas, Tomas Skersys
• Soft Set Weighted Classification for Wilson Disease Detection Using Genetic Algorithm 125–131
  Emilia Bezrutczyk, Weronika Stefańska
• A Comparative Approach to Heart Disease Classification 132–144
  Patrycja Janik, Patryk Weklicz, Kacper Śliwka
• Playing Card Recognition Using Deep Neural Networks: Architecture Design and Performance Analysis 145–151
  Jakub Jaromin
• Least Squares Progressive Iterative Approximation for Spline Curve (Re-)Construction Using Adaptive Refinement 152–161
  Šarūnas Palianskas
• Neuro-Symbolic Modeling of Visual Data with Sparse Generative Embeddings 162–172
  Serge Dolgikh, Oleksandr Sliusarenko
• Machine Learning Method Utilization for Lithuanian Company Clustering 173–181
  Eimantas Zaranka, Dovilė Kuizinienė
• White Blood Cell Classification Based on Evolutionary Optimization of Neural Network 182–190
  Agnieszka Polowczyk, Alicja Polowczyk, Jakub Kancerek
• Improving DeepFashion Dataset Classification Accuracy with StyleGAN2-ADA: Addressing Imbalanced Data in Fashion Image Recognition 191–200
  Agnė Moleikaitytė, Jonas Paulauskas,
• Analysing Narrative Manipulation in Russian Telegram News via Image and Text Divergences 201–210
  Maksym Bondar, Milita Songailaitė,
• Urban Road Segmentation with Transformers 211–218
  Bartas Lisauskas, Rytis Maskeliūnas,
• Comparative Analysis of Surrogate Model Architectures for LIME for Intrusion Detection Enhancement 219–228
  Mantas Bacevicius, Agne Paulauskaite-Taraseviciene,
• Comparison of Classifiers for Handwritten Digit Recognition 229–236
  Krzysztof Chrobok, Alicja Pradela,
• Audio Representations for CNN-based Semantic Sound Classification 237–246
  Katarzyna Wiltos
• Mask, Pseudonymise, Translate: Enhancing MT Quality Under Privacy Constraints 247–257
  Rinalds Vīksna, Mārcis Pinnis,
• Using clustering algorithms in medical data analysis 258–267
  Michał Tarnawa,
• Feature Reduction in Random Forests with SHAP-Based Importance Scores 268–275
  Wiktoria Plechta,
• Computational modeling of nonlinear processes in thin elastic plates subjected to electromagnetic fields 276–284
  Shohruh Safarov, Muhammadali Bahramov,
• Hair removal in dermoscopic images using SegFormer and inpainting 285–294
  Fayzulla Ollamberganov, Rustam Utemuratov, Rakhim Shikhiyev, Bayram Absametov
• Dual-Stream Sparse Transformer for Joint Temporal-Frequency Modeling in Automatic Modulation Recognition 295–303
  Sukhrob Bobojanov, Byeong Man Kim, Bunyod Samandarov, Dilmurod Saidov, Nematjon Setmetov, Nizomjon Jumaniyazov
• Research on Different AI Approaches to Measuring Curricular Overlap Across University Programs 304–314
  Simona Ramanauskaitė, Pavel Stefanovič, Eglė Baradinskienė, Cristina Vărvăruc, Muhammad Imran, Darja Bubnova, Cristian Maximiliano Rodriguez Rivero, Tõnis Raamets, Renata Karbauskienė
• Bridging Structured and Unstructured Data in Stress Echocardiography Survival Analysis 315–324
  Saulė Satkauskienė, Linas Petkevičius, Laura Balkevičienė, Jelena Čelutkienė
• Wearable Data Aggregation Framework for Fine-Tuning of LLMs to Forecasting Future-Aware Insights 325–334
  Linas Petkevičius, Povilas Gudžius, Ernestas Filatovas
• Enhanced State of Charge Prediction for Lithium-Ion Batteries Using Informer-LSTM Fusion 335–341
  Ningfei Song, Nanlin Jin, Ho-Pun Lam, Jingchen Wang, Jie Zhang, Ka Lok Man, Jeremy S. Smith, Yutao Yue,