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8 ta ish

Ish: Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms

  1. Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

    Kudratjon Zohirov

    MaqolaMuscle activation and electromyography studies20229 iqtibos
    ABI

  2. A New Approach to Determining the Active Potential Limit of an Electromyography Signal

    Kudratjon Zohirov

    MaqolaMuscle activation and electromyography studies20238 iqtibos
    ABI

  3. Hybrid Method for Evaluating Feature Importance for Predicting Chronic Heart Diseases

    Rashid Nasimov, Nigorakhon Nasimova, Bahodir Muminov

    MaqolaArtificial Intelligence in Healthcare20227 iqtibos
    ABI

  4. Deep Learning Algorithm for Classifying Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy in Transport Workers

    Rashid Nasimov, Nigorakhon Nasimova, Botirjon Karimov +1

    BobCardiovascular Effects of ExerciseLecture notes in computer science20237 iqtibos
    ABI

  5. Development of Fully Synthetic Medical Database Shuffling Method

    Rashid Nasimov, Nigorakhon Nasimova, Bahodir Mumimov +3

    BobAdvanced Computing and AlgorithmsLecture notes in computer science20244 iqtibos
    ABI

  6. An EMG Signal Based Approach for Assessing the Physical Condition of Athletes in Wrestling

    Kudratjon Zohirov, Rashid Nasimov, Sardor Boykobilov +3

    MaqolaMuscle activation and electromyography studies20242 iqtibos
    ABI

  7. Analysis of Human Brain Signal Rhythms Through a Bitalino Device

    Ganiyev Alisher

    MaqolaEEG and Brain-Computer Interfaces20220 iqtibos
    ABI

  8. YOLOv9-Based Detection of Diseases in Poplar Trees Using Histogram Equalization and Computer Vision

    Fazliddin Makhmudov, Kudratjon Zohirov, Jura Kuvandikov +6

    MaqolaSmart Agriculture and AISensors20260 iqtibos
    ABI