IVUS 2022
Information Society and University Studies 2022

Table of Contents

• Preface
  

• Impact of augmentation techniques on the classification of medical images 1-6
  Antoni Jaszcz
• VGG16-based approach for side-scan sonar image analysis 7-13
  Antoni Jaszcz
• Grey wolf optimizer combined with k-nn algorithm for clustering problem 14-19
  Katarzyna Prokop
• Sparse generative representations of handwritten digits 20-25
  Serge Dolgikh
• Application-based spam detection with machine learning algorithms 26-31
  Ali Erbey, Necaattin Barişçi
• Development of a novel method of adaptive image interpolation for image resizing using artificial intelligence 32-38
  Mukhriddin Arabboev, Shohruh Begmatov Khabibullo Nosirov, Jean Chamberlain Chedjou, Kyandoghere Kyamakya
• Pixel-based forest classification of Sentinel-2 images using automatically generated datasets 39-45
  Arminas Šidlauskas, Andrius Kriščiūnas
• Simulation-based comparison of objective weighting methods 46-51
  Üzeyir Fidan, Musab T. Akpinar
• Time-frequency analysis of automotive engine performance via short-time Fourier transform 52-57
  Zhengmao Ye, Radian Belu, Hang Yin, Habib Mohamadian
• Detecting applications vulnerabilities using remote procedure calls 58-65
  Lukas Jokubauskas, Jevgenijus Toldinas, Borisas Lozinskis
• Development of a software quality assessment method 66-69
  Irakli Basheleishvili, Giorgi Kapanadze, Avtandil Bardavelidze
• Building height prediction using neural networks based on Sentinel multi spectral images 70-76
  Giedrius Stravinskas, Vytas Vadapolas, Arminas Pamakštis, Andrius Kriščiūnas, Ingrida Lagzdinytė-Budnikevičienė
• Comparative performance analysis on off-grid power systems 77-82
  Rowland McFadden, Radian Belu, Zhengmao Ye
• Aplication of machine learning for improving contemporary ETA forecasting 83-91
  Gabrielė Kasputyte, Arnas Matusevičius, Tomas Krilavičius
• Telecommunication customer churn prediction using machine learning methods 92-98
  Monika Zdanavičiūtė, Rūta Juozaitienė, Tomas Krilavičius
• Machine learning methods for content-based music recommendation systems 99-105
  Milita Songailaitė, Tomas Krilavičius
• A novel artificial intelligence technique for enhancing the annual profit of wind farm 106-110
  Prasun Bhattacharjee, Rabin K. Jana, Somenath Bhattacharya
• Can merged datasets help in training money laundering detection models? 111-116
  Paulius Savickas, Dovilė Kuizinienė, Mantas Bugarevičius, Žilvinas Kybartas, Tomas Krilavičius
• A comparison of deep learning models for hate speech detection 117-123
  Eglė Kankevičiūtė, Milita Songailaitė, Justina Mandravickaitė, Danguolė Kalinauskaitė, Tomas Krilavičius
• Using parliamentary corpora to study political agenda: Attention to human rights in Lithuanian Parliament in 2020-2021 124-131
  Vaidas Morkevičius, Vytautas Valentinavičius, Giedrius Žvaliauskas, Monika Briedienė
• Iris database - Effectiveness of selected classifiers 132-140
  Paulina Hałatek, Katarzyna Wiltos, Mariusz Wróbel
• Custom semantic segmentation neural network architecture in spirochaete detection application 141-146
  Michał Wieczorek, Natalia Wojtas