Now showing items 1-14 of 14

    • An ANFIS-based Model to Predict the Oil Spill Consequences on the Ground 

      Burmakova, Anastasiya; Kalibatienė, Diana (2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)
      Considering the randomness and complexity of oil spill accidents on the ground, the oil spill volume, the spilled oil density, the spreading coefficient of oil product on the surface layer and ground thickness, were taken ...
    • 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, ...
    • An Approach to Migrate from Legacy Monolithic Application into Microservice Architecture 

      Kazanavičius, Justas; Mažeika, Dalius (2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)
      Microservice architecture is becoming the de facto industry standard for building new enterprise applications. In order to remain competitive, companies have started to modernize their legacy monolithic systems by decomposing ...
    • A cloud software isolation and cross-platform portability methods 

      Pozdniakova, Olesia; MaZeika, Dalius (2017 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2017, Vilnius, Lithuania, 2017)
      Cloud computing is a rapidly emerging technology that provides elastic, automated and on demand infrastructure, platform and software services. The cloud computing service model supplies various compute resources such as ...
    • 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 ...
    • Development and Research of Miniature High Precision Modular Rotary Encoder Kit Based on Dual Optical Sensors 

      Gurauskis, Donatas; Kilikevičius, Artūras; Mažeika, Dalius (2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)
      Open type modular rotary encoders are the most suitable choice for applications with limited installation space. The non-contact operating principle and bearing-free mechanical construction allow to design a compact, small ...
    • 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 ...
    • Methodology of Low Orbit Satellites Signal Processing in the Electromagnetically Noisy Environment 

      Masalskyi, Viktor; Bučinskas, Vytautas; Dzedzickis, Andrius; Tyshchenko, Aramais; Masalskyi, Oleksandr (2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)
      This paper dedicated to the problematics of low orbit satellite data acquisition and processing. Efforts to improve the quality and reliability of receiving these signals in a noisy electromagnetic environment presented ...
    • On CMMN Model for Software System Project Simulation 

      Sielskaitė, Šarūnė; Kalibatienė, Diana (2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)
      Software systems (SS) project failure has been a recurring problem for decades. One of the main factors of project success is appropriately chosen project management methodology and its adaption to the project type, company, ...
    • On Recent Advances on Stateful Orchestrated Container Reliability 

      Pakrijauskas, Kęstutis; Mažeika, Dalius (2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)
      Thanks to its flexibility and light weight, containers are becoming the primary platform to run microservices. Container orchestration frameworks - like Kubernetes or Docker Swarm - enable companies to stay on competitive ...
    • A Roadmap on Developing a Taxonomy for Text Data Mining 

      Pokusajev, Sergej; Stefanovič, Pavel (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Over the past decade, unstructured text data have increased significantly. Text data are utilized in various scientific research, such as sentiment analysis, semantic analysis, context extraction, or named-entity recognition. ...
    • Taxonomy of E-Course Quality Metrics and Automated Evaluation Possibilities 

      Gancevska, Beata; Ramanauskaitė, Simona (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Nowadays, the popularity of online learning is growing rapidly, and e-courses are becoming one of the main ways of learning. To successfully conduct online training, it is crucial to ensure the high quality of learning ...
    • 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 ...