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  • 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, ...
  • Polynomial Approximation Degree Influence on Implicit Network Regularization for Impedance Signal Reconstruction 

    Ivinskij, Vadimas; Morkvėnaitė-Vilkončienė, Inga (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    A scanning electrochemical microscope (SECM) with artificial intelligence could generate the sample's activity image from approach curves measured at several points, minimizing the time of measurement and calculating sample ...
  • Deep Learning-Based PID Controller Tuning for Effective Speed Control of DC Shunt Motors 

    Pavan Kumar, Y. V.; Pradeep, D. John; Chakravarthi, M. Kalyan; Pradeep Reddy, G. (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Electric vehicles (EVs) have become essential due to the depletion of fuel energy resources. DC machines and their role in EVs are gaining significant attention. The speed of DC motor-driven wheels in EVs is usually ...
  • Evaluation of Plane Reconstruction Distortions in Monocular Depth Maps 

    Gisleris, Ervinas; Serackis, Artūras; Matuzevičius, Dalius (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Monocular depth estimation is a fundamental problem in computer vision with applications in robotics, augmented reality, and 3D scene reconstruction. This study evaluates the accuracy of plane reconstruction in depth maps ...
  • Evaluation of MoViNet Streaming Models for Real-Time Action Recognition in Thermal Domain 

    Vdoviak, Gabriela; Sledevič, Tomyslav (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    This paper investigates the potential of Mobile Video Networks (MoViNet) for real-time human action recognition in the thermal domain. Although MoViNet models have demonstrated strong performance on RGB-based video datasets, ...

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