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Tukhtabek Rakhimov

Работ: 8

Department of Economics, Urgench State University, Urgench, Uzbekistan,

  1. The Volatility Assessment of CO2 Emissions in Uzbekistan: ARCH/GARCH Models

    Bekhzod Kuziboev, Petra Vysušilová, Raufhon Salahodjaev +2

    СтатьяEnergy, Environment, Economic GrowthInternational Journal of Energy Economics and Policy2023Цитирований: 8
    ABI

  2. Assessment of Class Imbalance Data Handling with Attention-Based Deep Learning Approach for Robust Financial Distress Prediction in Enterprises

    Alisher Sherov, Tukhtabek Rakhimov, Hafis Hajiyev +2

    СтатьяFinancial Distress and Bankruptcy PredictionEngineering Technology & Applied Science Research2025Цитирований: 6
    ABI

  3. Evaluating Class-Imbalanced Data Handling for Enhanced Financial Distress Prediction Using an Attention-Based Deep Neural Network and Heuristic Optimization Algorithms

    Alisher Sherov, Tukhtabek Rakhimov, Hafis Hajiyev +2

    СтатьяFinancial Distress and Bankruptcy PredictionEngineering Technology & Applied Science Research2025Цитирований: 5
    ABI

  4. Possibilities of organizing smart markets in the region

    Dilshod Hudayberganov, Farxod Abdullaev, Tukhtabek Rakhimov +2

    СтатьяGovernance, Compliance, and SustainabilityE3S Web of Conferences2023Цитирований: 2
    ABI

  5. Some areas of development of foreign cooperation in the higher education system

    Dilshod Hudayberganov, Tukhtabek Rakhimov, Akmal Rakhimbaev +2

    СтатьяEducational Innovations and ChallengesE3S Web of Conferences2023Цитирований: 1
    ABI

  6. Directions of ecological business development in the regional economic system

    Tukhtabek Rakhimov, Dilshod Hudayberganov, Ilmira Yusupova +2

    СтатьяEntrepreneurship Studies and InfluencesBIO Web of Conferences2024Цитирований: 1
    ABI

  7. Enhancing Agricultural Efficiency and Land Resource Management through Information Systems

    Zauresh Imanbayeva, Galym Mussirov, Аinash Nurgaliyeva +4

    СтатьяDigitalization and Economic Development in AgricultureQubahan Academic Journal2024Цитирований: 0
    ABI

  8. An Efficient Approach for Customer Attrition Prediction Using Regression-Based Feature Reduction and Neutrosophic Soft Set in Big Data Ecosystems

    Irina Gladysheva, Raya Karlibaeva, Bobur Mirzayev +2

    СтатьяCustomer churn and segmentationEngineering Technology & Applied Science Research2026Цитирований: 0
    ABI