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Engineering Technology & Applied Science Research

Работ: 27

Журнал · ISSN 1792-8036

  1. 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

  2. An Efficient Uzbek Speaker Recognition System for Resource-Constrained Devices Using Compact Acoustic Features and Lightweight Deep Models

    Parakhat Nurimov, Narzillo Mamatov

    СтатьяSpeech Recognition and SynthesisEngineering Technology & Applied Science Research2026Цитирований: 0
    ABI