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Statistical and Computational Modeling

116 та иш

  1. AI-Driven Soil Organic Carbon Prediction Using Random Forest: A Data-Driven Study on Uzbekistan's Agricultural Soils

    Abdurasul Bobonazarov, Akmal Rustamov, Khamidulla Khabibullaev +1

    МақолаSoil and Land Suitability AnalysisZenodo (CERN European Organization for Nuclear Research)20250 иқтибос
    ABI

  2. A Majority Voting System For Reliable Sentiment Analysis Of Product Reviews

    M. Suyunova, M. Amirqulov

    МақолаSentiment Analysis and Opinion MiningCURRENT RESEARCH JOURNAL OF PEDAGOGICS20250 иқтибос
    ABI

  3. A Hybrid Algorithm for Constructing an Optimized Set of Informative Features

    Kudratjon Zohirov, Rashid Nasimov, Dildora Muhamediyeva +3

    МақолаScientific Research Methodologies and Applications20250 иқтибос
    ABI

  4. The Algorithm for Intelligent Analysis of Soil Composition Data Based on Filling NaN Values Using Matrix Factorization Method for Artificial Intelligence Models

    Fayzullo Nazarov, Abror Akhatov, Gozal Buribayevna Absalamova +1

    МақолаStatistical and Computational Modeling20250 иқтибос
    ABI

  5. Recognition models based on support elementary classifiers

    Olimjon Mirzaev, Abdujabbar Abidov, Irina Zhukovskaya +2

    МақолаScientific Research Methodologies and Applications20250 иқтибос
    ABI

  6. On a Method for Text Data Classification

    Asqar Raxmonov, Nargiza Iskhakova, Zebiniso Abduvaloyeva

    МақолаAdvanced Computational Techniques in Science and Engineering20250 иқтибос
    ABI

  7. Improving the Organizational and Methodological Aspects of the Current Biological Assets Audit in Livestock

    Bakhtiyor Yu. Menglikulov, Radjapbay D. Dusmuratov, Ikram R. Davletov +1

    БобBioeconomy and Sustainability DevelopmentAdvances in Science, Technology & Innovation/Advances in science, technology & innovation20250 иқтибос
    ABI

  8. Approaches to Categories of Costs and Organization of Accounting in Fruits and Vegetables

    Bakhtiyor Yu. Menglikulov, Radjapbay D. Dusmuratov, Gulchiroy B. Tursunkulova +2

    БобFood Industry and Aquatic BiologyAdvances in Science, Technology & Innovation/Advances in science, technology & innovation20250 иқтибос
    ABI

  9. AN ADAPTIVE MODEL FOR SOFTWARE CODE QUALITY ASSESSMENT IN REFACTORING TASKS BASED ON FUZZY LOGIC

    Sergii Liubarskyi, Alina Yanko, Yurii Zdorenko +1

    МақолаSoftware Engineering ResearchAdvanced Information Systems20260 иқтибос
    ABI

  10. AI-Driven Soil Organic Carbon Prediction Using Random Forest: A Data-Driven Study on Uzbekistan's Agricultural Soils

    Abdurasul Bobonazarov, Akmal Rustamov, Khamidulla Khabibullaev

    МақолаSoil and Land Suitability AnalysisZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  11. AI-Driven Soil Organic Carbon Prediction Using Random Forest: A Data-Driven Study on Uzbekistan's Agricultural Soils

    Abdurasul Bobonazarov, Akmal Rustamov, Khamidulla Khabibullaev

    МақолаSoil and Land Suitability AnalysisZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  12. Optimal pollution management in agro-industrial production for environmental protection

    D. T. Muhamediyeva, N. A. Niyozmatova, M. H. Raupova +2

    МақолаClimate Change Policy and EconomicsAIP conference proceedings20260 иқтибос
    ABI

  13. Rational use of land resources based on fuzzy modeling and Z-numbers in soil salinity assessment

    D. T. Muhamediyeva, M. H. Raupova, F. A. Tagaev +2

    МақолаStatistical and Computational Modeling20260 иқтибос
    ABI

  14. ML Based Model Analysis for Regional Fruit and Crop Categorization in Central Asia

    Tanveer Baig z, Abudhahir Buhari, Danish Ather +3

    МақолаSoil and Land Suitability Analysis20260 иқтибос
    ABI

  15. Models and Methods of Intelligent Processing of Web Documents Based on Artificial Intelligence Technologies

    Husanov Sherzod Abdimannonovich

    МақолаAdvanced Computational Techniques in Science and EngineeringAmerican Journal Of Applied Science And Technology20260 иқтибос
    ABI

  16. DEVELOPMENT AND PRACTICAL APPLICATION OF A REGRESSION MODEL IN THE PYTHON PROGRAMMING LANGUAGE

    Samandar Kidirbay ulı Urazbayev

    МақолаStatistical and Computational ModelingZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI