Now showing items 1-17 of 17

    • 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, ...
    • Comparison of VGG and ResNet used as Encoders for Image Captioning 

      Atliha, Viktar; Šešok, Dmitrij (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      Recent models for image captioning are usually based on an encoder-decoder framework. Large pre-trained convolutional neural networks are often used as encoders. However, different authors use different encoder architectures ...
    • Control methods for piezomechanical robots moving in trajectories: Software and hardware 

      Macerauskas, Eugenijus; Janutėnaitė-Bagdonienė, Jūratė; Kulvietis, Genadijus (2017 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2017, Vilnius, Lithuania, 2017)
      Practical application of smart materials for moving robots enabled to solve difficult mechatronic positioning and movement problems. Movement in such systems is generated using piezoelectrical devices. Therefore, classical ...
    • Detecting Wake-word Repeats in Voice-activated Systems 

      Kolesau, Aliaksei; Šešok, Dmitrij (2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)
      In this paper we propose a practical method to improve the false rejection rate of a voice-activated system. The users of such systems tend to repeat the activation word in the case of the false rejection. In our method ...
    • 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 ...
    • Investigation of Acoustic Features for Voice Activation Problem 

      Kolesau, Aliaksei; Šešok, Dmitrij (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      In this paper we examine the results of using different acoustic feature computation pipelines for classifying audio keywords with a convolutional neural network (CNN). We compare the use of Mel-frequency cepstral coefficients ...
    • Modeling of two-tier DDoS by combining different type of DDoS models 

      Ramanauskaitė, Simona; Čenys, Antanas; Goranin, Nikolaj; Janulevičius, Justinas (2017 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2017, Vilnius, Lithuania, 2017)
      Modeling of Distributed Denial of Service (DDoS) attacks is a multidimensional problem as different resources are used at the same time. Existing DDoS attacks models analyze usage of only one resource as most attack relay ...
    • Near-optimal Placement of Piles in Grillage Type Foundations Based on Simulated Annealing 

      Miloš, Ervin; Kovalyov, Mikhail Y.; Mačiūnas, Darius; Belevičius, Rimantas; Šešok, Dmitrij (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      A problem of optimal positioning of piles in grillage type foundations is studied. A Global Optimization model reported in the literature is used to formalize this problem. A novel Simulated Annealing algorithm is developed ...
    • Opportunities for Automated E-learning Path Generation in Adaptive E-learning Systems 

      Ovtšarenko, Olga (2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)
      The need to automate learning paths is caused by an ever-growing need to personalise the learning process. Each student is an individual and has their learning preferences. In addition, it is required to consider changes ...
    • Pretrained Word Embeddings for Image Captioning 

      Atliha, Viktar; Šešok, Dmitrij (2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)
      All modern methods in one way or another related to natural language processing problems use vector representations of words. These can be either representations learned for a specific task or pretrained vector representations ...
    • 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 ...
    • Text Augmentation for Compressed Image Captioning Models 

      Atliha, Viktar; Šešok, Dmitrij (2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2022, Vilnius, Lithuania, 2022)
      The field of compressing image captioning models to be suitable for real-time mobile devices usage remains under-explored despite its high practical value. Recent researches showed a huge progress in this topic compressing ...
    • Text Classification using Different Feature Extraction Approaches 

      Dzisevič, Robert; Šešok, Dmitrij (2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)
      In this paper, we examine the results of applying three different text feature extraction approaches while classifying short sentences and phrases into categories with a neural network in order to find out which method is ...
    • 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 ...
    • Trends and Challenges of Multimodal User Interfaces 

      Margienė, Asta; Ramanauskaitė, Simona (2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)
      The development of information technologies brings new possibilities for its users. The development is noticeable in user interface design as well - new data input and output methods and facilities are proposed, increasing ...
    • Web mining taxonomy 

      Griazev, Kiril; Ramanauskaitè, Simona (2018 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 26, 2018, Vilnius, Lithuania, 2018)
      The information publication on the Internet increases the information accessibility. However, the amount of data on the Internet increases rapidly and it becomes difficult to find the needed information among multiple ...