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Ushbu ish iqtibos qilgan ishlar

10 ta ish

Ish: Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

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

    Adilbek Turgunov, Kudratjon Zohirov, Rashid Nasimov +1

    MaqolaMuscle activation and electromyography studies2021 International Conference on Information Science and Communications Technologies (ICISCT)20218 iqtibos
    ABI

  2. Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms

    Adilbek Turgunov, Kudratjon Zohirov, Alisher Ganiyev +1

    MaqolaMuscle activation and electromyography studies20208 iqtibos
    ABI

  3. A new dataset for the detection of hand movements based on the SEMG signal

    Adilbek Turgunov, Kudratjon Zohirov, Bobur Muhtorov

    MaqolaEEG and Brain-Computer Interfaces20207 iqtibos
    ABI

  4. Using Different Features of Signal in EMG Signal Classification

    Adilbek Turgunov, Kudratjon Zohirov, Shamiljon Rustamov +1

    MaqolaMuscle activation and electromyography studies2020 International Conference on Information Science and Communications Technologies (ICISCT)20206 iqtibos
    ABI

  5. Feature reduction and selection for EMG signal classification

    Angkoon Phinyomark, Pornchai Phukpattaranont, Chusak Limsakul

    Maqola20124 iqtibos
    ABI

  6. Brain–computer interfaces for communication and control

    Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland +2

    Sharh maqola20023 iqtibos
    ABI

  7. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  8. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  10. Sarlavhasiz

    Boshqa1 iqtibos
    ABI