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.

  • 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 ...
  • OPeraTE.AI: Optimized Personnel and Inmate Tracking Efficiency Through Facial Recognition using Siamese Neural Network 

    Hilario, Mark Ryan I.; Inferido, Eliezer C.; Melecio, Jhonlie C.; Viodor, Ariel Christian C. (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    The Philippine National Police (PNP) in Clarin, Bohol, faces significant challenges in managing personnel and inmate information due to disorganized files, manual processes, and a lack of a centralized system. This ...
  • Enhancing Redis Cache Efficiency Based on Dynamic TTL and Adaptive Eviction Mechanism 

    Shevchenko, Olena; Kuchapin, Matvii; Dudar, Zoia; Shirokopetleva, Mariya (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Common caching strategies used in Redis are often inefficient when dealing with complex data structures, leading to inefficient memory usage and degraded system performance. This work presents the idea of decomposing complex ...
  • Enhancing Mango Leaf Disease Diagnosis Using Convolutional Neural Networks 

    Godmalin, Rey Anthony (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Mango leaf diseases significantly impact crop yield and quality, necessitating early and accurate detection for effective management. This study explores deep learning-based classification using MobileNetV3Small and ...
  • 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 ...

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