DSpace institucinė talpykla / DSpace Repository

DSpace pagrindu veikianti institucinė talpykla kaupia, saugo ir viešina skaitmeninį turinį. Tai svarbus įrankis, užtikrinantis institucijos produkcijos išsaugojimą ir pagerinantis mokslinę komunikaciją.

DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Communities in DSpace

Recently Added

  • 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, ...

  • Evaluation of Contour-based Features for Eyeglasses Style Classification 

    Giedra, Henrikas; Katkevičius, Andrius; Plonis, Darius; Matuzevičius, Dalius (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Eyeglasses style classification is an important task in computer vision with applications in virtual try-on systems, retail, and personalized recommendations. Such systems must operate efficiently in real-time, even under ...

  • BiLSTM-CNN with Bayesian Optimization for Accurate Long-Term Load Forecasting: Cross-Regional Insights from Morocco and Spain 

    Boumais, Khaoula; Messaoudi, Fayçal (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Accurate long-term electricity demand forecasting (LTLF) is critical for strategic planning, particularly in the context of escalating climate issues and the intricacies of energy systems. This research proffers a pioneering ...

  • Introducing the IRES Tool: A Data-Driven Excel Model for Wind Farm Repowering 

    Amin, Mohmed; Antwi, Edward; Sommer, Romy; Gulden, Johannes (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    The transition to renewable energy is crucial for addressing climate change and ensuring energy security. Wind energy plays a central role in this shift, but as many wind farms approach the end of their operational lifespan, ...

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