Browsing 2025 International Conference "Electrical, Electronic and Information Sciences“ (eStream) by Faculty "Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences"

Now showing items 1-5 of 5

    • An Approach for Building IT Support Dataset for Machine Learning Models 

      Jevsejev, Roman; Mažeika, Dalius; Bereiša, Mindaugas (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      This study investigates the challenges of preparing datasets for machine learning models based on the data of a centralized system for managing IT incidents within an organization. Key challenges include data quality issues, ...

    • Dempster-Shafer WASPAS Decision-Making Method for the Selection Wall Construction of a Single-Family House 

      Baušys, Romualdas; Juodagalvienė, Birutė; Kazakevičiūtė-Januškevičienė, Girūta (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      The application of multi-criteria decision-making methods is particularly useful in constructing single-family houses when it is necessary to select the optimal types of wall construction. This paper presents a new WASPAS ...

    • Holistic View on Decision-making in Cyber Defense Exercises: A Case Study Based in Amber Mist 

      Čiurlienė, Karina (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      Decision-making in cyber defense exercises (CDX) is a complex process that extends beyond technical proficiency, incorporating cognitive, strategic, and behavioral elements. This study presents a holistic view approach to ...

    • Improving Engineering Education for a Sustainable Future 

      Ovtšarenko, Olga; Safiulina, Elena (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      Integrating sustainability into engineering education is essential for equipping future professionals with the skills to build a resource-efficient world. This paper explores an interdisciplinary approach at TTK University ...

    • Trends and Challenges of Multimodal Solutions for Text and Image Context Extraction 

      Kvietkauskas, Tautvydas; Stefanovič, Pavel (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      The number of published images, texts, and other information rapidly increases in today’s digital space. The ability to simultaneously process textual and visual information helps to interpret content more accurately. It ...