| Vol-3885 urn:nbn:de:0074-3885-8 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IVUS 2024
Information Society and University Studies 2024

### Proceedings of 29th International Conference Information Society and University Studies

### Kaunas, Lithuania, May 17, 2024.

Edited by

### Ilona Veitaitė *
Audrius Lopata **
Tomas Krilavičius ***
Marcin Woźniak ****

* Vilnius University, Lithuania
** Kaunas University of Technology, Lithuania
*** Vytautas Magnus University, Lithuania
**** Silesian University of Technology, Poland

## Table of Contents

- Preface

- Building Heat Loss Evaluation using Artificial Intelligence Methods and Thermal Photogrammetry 1-8
  Justas Kardoka, Agnė Paulauskaitė-Tarasevičienė, Darius Pupeikis
- Fine-Grained Visual Classification of Fish 9-18
  Piotr Żerdziński
- An Overview of Patient Monitoring Systems Based on Machine Learning in the Internet of Things 19-29
  Saeid Javid, Maria Luisa Pérez Delgado
- Analysis of Datasets Created to Assess the Risk of Developing Gestational Diabetes Mellitus 30-38
  Mukhriddin Arabboev, Shohruh Begmatov, Mokhirjon Rikhsivoev, Saidakmal Saydiakbarov, Zukhriddin Khamidjonov, Sardor Vakhkhobov, Khurshid Aliyarov, Khabibullo Nosirov
- Advancements in AI for Poultry Farming to Ensure Early Detection to Tackle Fallen Bird Incidents 39-48
  Arnas Nakrošis, Agnė Paulauskaitė-Tarasevičienė, Romas Gružauskas
- Predicting Company Credit Rating Using Artificial Intelligence Techniques from Publicly Available Financial Data 49-58
  Juozas Širmenis, Mindaugas Kavaliauskas, Ingrida Lagzdinytė-Budnikė
- Fast-Fourier Transform in 5G Network 59-68
  Davit Begashvili, Giorgi Akhalaia, Avtandil Gagnidze, Sergiy Gnatyuk
- Self-Attention Generative Adversarial Network 69-78
  Tomasz Bury
- Advancements in Dating Undated Manuscripts through Dual Methodologies 79-88
  Maksim Iavich, Maia Ninidze
- Comparison of Neural Network Models with GRU and LSTM Layer for Earthquake Prediction 89-98
  Wiktoria Plechta
- Exploring Convolutional Architecture Capabilities for Image Classification Tasks with Insufficient Amount of Data 99-108
  Andrii Matsevytyi, Vytautas Rudžionis
- KATH: A No-Coding Data Processing Aid for Genetic Researchers 109-120
  Kajus Černiauskas, Dainius Kirsnauskas, Paulius Preikša, Gabrielius Salyga, Nojus Sajauskas, Jūnius Vaitkus, Gerda Žemaitaitytė, Kazimieras Bagdonas
- Detecting Fair Play Violations in Chess Using Neural Networks 121-127
  Maksim Iavich, Zura Kevanishvili
- Expert System for Analyzing CT Images Using CNN With a Self-Attention Module 128-137
  Artur Kostera
- Design of a Wheel Legged Robot 138-147
  Luis Diego Carranza, Víctor Manuel Escobar, Manuel Cardona, Jose Luis Ordoñez
- Density Functional Theory Calculations in Designing Symmetric and Asymmetric TADF Emitters 148-154
  Dalius Gudeika
- Development of Websites Ranking Algorithm Based on SEO Metrics 155-164
  Irakli Basheleishvili, Giorgi Kapanadze, Sergo Tsiramua
- Inference Acceleration for Large Language Models Using "Stairs" Assisted Greedy Generation 165-174
  Domas Grigaliūnas, Mantas Lukoševičius
- Financial Anomalies Detection Method Example 175-184
  Ilona Veitaitė, Audrius Lopata
- Providing Brands Visibility Data in Live Sports Videos Using Deep Learning Algorithms 185-194
  Julius Gudauskas
- Anomaly Detection for System Logs Literature Overview 195-202
  Justas Juknys
- Design and Manufacturing of a 3D-Printed Underwater Robot Through Parameters CAD/CFD and Stress Analysis for Optimization and Performance 203-212
  Erick Fernando Hernández-Solórzano, Silvio Lazaro, Jose Luis Ordoñez
- Data Processing Method for Gini Coefficient Application in Assessing the Centralization Within the BTC Lightning Network 213-221
  Laura Atmanavičiūtė, Tomas Vanagas, Justinas Grigaras, Saulius Masteika
- The Dark Side of Radio Technology 222-230
  Giorgi Tomadze, Ilia Lomidze, Mikheil Kurashvili, Giorgi Akhalaia, Vladimer Svanadze
- Development of a Lecture Attendance Registration System Based on Facial Recognition 231-238
  Irakli Basheleishvili, Giorgi Vardosanidze, Giorgi Makharoblidze
- Basketball Board Detection Using YOLO Algorithms 239-248
  Juozas Širmenis, Mantas Lukoševičius
- Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models 249-258
  Brigita Vileikytė , Mantas Lukoševičius, Lukas Stankevičius
- Ball and Player Detection in Futsal Videos using YOLOv8 Model 259-269
  Shohruh Begmatov, Mukhriddin Arabboev, Mokhirjon Rikhsivoev, Saidakmal Saydiakbarov, Zukhriddin Khamidjonov, Sardor Vakhkhobov, Khurshid Aliyaro, Oybek Karimov
- Class-Focused Evaluation of Deep Learning Techniques for Network Intrusion Detection 270-277
  Mantas Bacevicius
- Computational Analysis of the Influence of the Model Boundary Conditions on the Bacterial Self-Organization 278-287
  Martinas Mačernius, ~/www/Vol-3885Romas Baronas
- Assigning Different Activation Functions in Artificial Neural Networks with the Goal of Achieving Higher Prediction Accuracy 288-299
  Gytis Baravykas, Justas Kardoka, Domas Grigaliunas, Darius Naujokaitis
- Efficient Dijkstra-Based Greedy Algorithm for Cycle-Route Planning 300-309
  Antoni Jaszcz, Szymon Hankus, Michał Bober, Bartosz Bugla
- Enhancing Image Processing with GANs in Noisy Environments 310-321
  Zia Ur Rehman
- Music Genre Recognition 322-335
  Adam Grelewicz, Mateusz Lis, Dawid Michalak
- Text Classification Algorithms 336-349
  Katarzyna Czernik, Karolina Kamela
- Classificatikon of Obesity Types using Random Forest and Decision Tree algorithms 350-365
  Martyna Kramarz, Dominik Dzida
- Analysis the Performance of Naive Bayes and K-Nearest Neighbor Classifiers 366-373
  Hubert Bojda, Dawid Gala
- Comparison of Classifiers for Predicting Heart Attack in Patients 374-381
  Oliwia Cimała, Maria Bocheńska
- Comparison of Classifiers for Lung Cancer Prediction 382-389
  Kamil Jędrzkiewicz, Adam Kaszubowski, Mateusz Goik
- Text Classification 390-398
  Szymon Molitorys, Bartłomiej Piłot, Kacper Smyrak
- Comparison of Soft Set and KNN Methods for Recommendation Systems 399-405
  Piotr Solarczyk, Jakub Stachurski
- Movie Recommendation System 406-414
  Weronika Wołowczyk, Ewa Szymik
- Language Recognition Implemented into Machine Learning Algorithms 415-426
  Żaneta Pawelec, Grzegorz Grochowski, Aleksandra Starowicz
- Comparison of Learning Classifier Algorithms for Mental Health Problems Recognition 427-435
  Krzysztof Gumiński, Jakub Miarka
- Analysis of Selected Algorithms for the Classification of Space Objects 436-445
  Radosław Jędrzejczyk, Katarzyna Kłeczek
- Using Soft Sets as an Improvement for K-Nearest Neighbors Algorithm 446-455
  Norbert Luchowski, Piotr Chimiak
- Heart Disease Prediction System Utilizing KNN and Naive Bayes Classifiers with Added Priorities 456-465
  Jan Mierzwa, Jakub Płocidem
- Face Recognition using Naive Bayes Classifier 466-474
  Aleksandra Stachecka, Tomasz Procek
- Stacked Generalization - Investigating the Impact on Predictive Performance of Basic Machine Learning Models 475-484
  Szymon Antonik, Bartosz Bąba
- Recurrent Neural Network Model for Time Series Analysis 485-498
  Bilal Masih
- Long-Short Term Memory Neural Network for Incomplete Data Inputs 499-513
  Irfan Mahmood

2024-11-12: submitted by Ilona Veitaitė, metadata incl. bibliographic data published under Creative Commons CC0
2024-12-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|