Asosiy kontentga oʻtish
AkademIndex

Mahsulotlar

Ishlab chiquvchilar uchun

AkademBaseEkotizim uchun ochiq API

Dilyorjon Solidjonov

10 ta ish

Kokand University

  1. IMMERSIVE AUGMENTED REALITY AND VIRTUAL REALITY TECHNOLOGY FOR EDUCATION

    Dilyorjon Solidjonov

    MaqolaEngineering Education and TechnologyZenodo (CERN European Organization for Nuclear Research)20221 iqtibos
    ABI

  2. EFFECTIVE METHODS TO INCREASE VOCABULARY IN ENGLISH AS A SECOND LANGUAGE

    Xatamova Ziyoda Gulomovna, Dilyorjon Solidjonov

    MaqolaForeign Language Teaching MethodsZenodo (CERN European Organization for Nuclear Research)20231 iqtibos
    ABI

  3. ISSUES OF ECONOMIC DEVELOPMENT AND INTERNATIONAL INTEGRATION IN THE NEW UZBEKISTAN

    Dilyorjon Solidjonov

    MaqolaEconomic and Industrial Development20210 iqtibos
    ABI

  4. YANGI INNOVATSION TEXNOLOGIYALAR VA ULARNI TA'LIM OLISH MUHHITIDA QO'LLANISHI

    Axrorjon Yo'ldashev, Dilyorjon Solidjonov

    MaqolaEducation, Innovation and Language StudiesZenodo (CERN European Organization for Nuclear Research)20220 iqtibos
    ABI

  5. LEARNING ENGLISH LANGUAGE AS A SECOND LANGUAGE WITH AUGMENTED REALITY

    Dilobarkhon Azimova, Dilyorjon Solidjonov

    MaqolaImpulse Buying and Technology ImpactsQO‘QON UNIVERSITETI XABARNOMASI20230 iqtibos
    ABI

  6. RETRACTED: Foresight, innovation strategies, and technological guideline for turning a small business into a corporation

    Boburmirzo Khursanaliyev, Dilyorjon Solidjonov

    MaqolaInnovation and Knowledge ManagementE3S Web of Conferences20240 iqtibos
    ABI

  7. Pragmatic Competence Without Embodiment? Evaluating LLM Performance on Implicature, Presupposition, and Speech Acts

    Dilyorjon Solidjonov

    MaqolaAction Observation and SynchronizationJournal of Cultural Cognitive Science20250 iqtibos
    ABI

  8. Investigating linguistic errors in large language model generation of uzbek text

    Dilyorjon Solidjonov, NAJMIDDINOV MUHAMMADJON

    MaqolaNatural Language Processing TechniquesCogent Arts and Humanities20250 iqtibos
    ABI

  9. CAN LARGE LANGUAGE MODELS UNDERSTAND PRESUPPOSITION? A SEMANTIC–PRAGMATIC INTERFACE ANALYSIS

    Dilyorjon Solidjonov

    MaqolaBayesian Methods and Mixture ModelsOpen MIND20260 iqtibos
    ABI

  10. CAN LARGE LANGUAGE MODELS UNDERSTAND PRESUPPOSITION? A SEMANTIC–PRAGMATIC INTERFACE ANALYSIS

    Dilyorjon Solidjonov

    MaqolaBayesian Methods and Mixture ModelsDOAJ (DOAJ: Directory of Open Access Journals)20260 iqtibos
    ABI