About the Journal

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Newly established journal. Content in progress.

The Journal New Trends in Computer Sciences publishes original research papers that provide insights into computer sciences and applied computing issues.

Current Issue

Journal uses continuous publication model. Current issue is in progress

Published: 2026-06-12

Articles

  • Evaluating knowledge graph enhanced retrieval augmented generation for automated functional requirements extraction

    Dilki Sandunika Rathnayake , Asta Slotkienė
    Abstract 610 | PDF Downloads 230 | DOI https://doi.org/10.3846/ntcs.2026.27121
    Page 1–19
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  • AI-enabled software requirements specification for banking chatbot systems

    Ansu Mary Jacob , Jolanta Miliauskaitė
    Abstract 293 | PDF Downloads 67 | DOI https://doi.org/10.3846/ntcs.2026.26881
    Page 20–39
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  • A secure restful deployment pattern for course recommendation microservices using proof-of-work blockchain authentication

    Bernadus Very Christioko , Khoirudin , Yusup
    Abstract 185 | PDF Downloads 77 | DOI https://doi.org/10.3846/ntcs.2026.26620
    Page 40–59
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  • Distinguishing lexical deviation from semantic resilience in LLM-based round-trip translation

    Kalin Kopanov , Tatiana Atanasova
    Abstract 134 | PDF Downloads 66 | DOI https://doi.org/10.3846/ntcs.2026.26227
    Page 60–92
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  • Candidate assessment in asynchronous video interviewing: a hybrid hyperbolic fuzzy integrated MCDM framework with generative AI expertise

    Abhishek Yadav , Raghunathan Krishankumar
    Abstract 78 | PDF Downloads 45 | DOI https://doi.org/10.3846/ntcs.2026.26251
    Page 93–110
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  • Discovering disease risk trends by applying Latent Dirichlet Allocation sentiment analysis to social media health discussions

    Sandeep Bhattacharjee
    Abstract 36 | PDF Downloads 32 | DOI https://doi.org/10.3846/ntcs.2026.25980
    Page 111–130
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  • Impact of unit and item nonresponse on population total estimation in asymmetric business survey data

    Vilma Nekrašaitė-Liegė , Elena Strelčiūnaitė
    Abstract 20 | PDF Downloads 10 | DOI https://doi.org/10.3846/ntcs.2026.26740
    Page 131–145
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  • Interpretable machine learning approaches for student dropout prediction in higher education

    Arūnas Mincevičius
    Abstract 29 | PDF Downloads 10 | DOI https://doi.org/10.3846/ntcs.2026.27184
    Page 146–160
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