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.

DSpace rinkiniai

Neseniai pridėta

  • Senti Guide: A Machine Learning-Based Sentiment Analysis System for Student Feedback Evaluation 

    Ariño, Angeline W.; Managaytay, John Jayford P.; Bacalso, John Vic C.; Remolado, Alvin T. (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    In academic settings, student feedback plays a crucial role in evaluating events and improving future planning. However, traditional manual feedback processing is time-consuming, error-prone, and inconsistent, often leading ...

  • Evaluation of Deep Learning Systems in Medical Diagnosis 

    Kyrychenko, Iryna; Tereshchenko, Glib; Kozak, Daria; Chupryna, Anastasiya (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    Deep learning in medical image analysis has significantly improved diagnostic accuracy. However, using commercial solutions such as Google DeepMind Health, IBM Watson Health, and Aidoc is financially demanding, limiting ...

  • Research on Hybrid Image Storage Models to Ensure Data Security and Privacy 

    Kyrychenko, Iryna; Tereshchenko, Glib; Kozynets, Maksym; Dudar, Zoia (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    This paper addresses the growing challenge of secure and efficient image storage using hybrid architectures that combine local and cloud resources. We propose and compare three architectural models with integrated encryption ...

  • Feature Importance analysis for encrypted brute-force attack detection based on machine learning techniques 

    Kapustin, Vsevolod; Paulauskas, Nerijus; Paulikas, Šarūnas (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
    This paper explores the challenges and opportunities in detecting cyber-attacks within encrypted network traffic. While encryption ensures data privacy and secure communications, it also obscures malicious activities from ...

  • 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 ...

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