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Работы, цитирующие эту работу

Работ: 7

Работа: A new dataset for the detection of hand movements based on the SEMG signal

  1. Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning

    Nigorakhon Nasimova, Bahodir Muminov, Rashid Nasimov +2

    СтатьяEngineering Education and Technology2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 10
    ABI

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

    Kudratjon Zohirov

    СтатьяMuscle activation and electromyography studies2022Цитирований: 9
    ABI

  3. Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms

    Adilbek Turgunov, Kudratjon Zohirov, Rashid Nasimov +1

    СтатьяMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 8
    ABI

  4. Analysis of methods and algorithms for feature extraction of biosignals of muscle activity

    A'lokhon Qakhkharov, Shokhrukhmirzo Kholdorov, Nozima Atadjanova +2

    СтатьяMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 4
    ABI

  5. Electromyography-Based Sign Language Recognition: A Low-Channel Approach for Classifying Fruit Name Gestures

    Kudratjon Zohirov, Mirjakhon Temirov, Sardor Boykobilov +6

    СтатьяHand Gesture Recognition SystemsSignals2025Цитирований: 3
    ABI

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

    Ganiyev Alisher

    СтатьяEEG and Brain-Computer Interfaces2022Цитирований: 0
    ABI

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

    Kudratjon Zohirov, Rashid Nasimov, Dildora Muhamediyeva +3

    СтатьяScientific Research Methodologies and Applications2025Цитирований: 0
    ABI