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30 ta ish

Ish: Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State

  1. Optimization of the database structure based on Machine Learning algorithms in case of increased data flow

    A. Akhatov, Aldeniz Rashidov, A. Renavikar

    Bob202317 iqtibos
    ABI

  2. Advancing Maritime Safety: Early Detection of Ship Fires through Computer Vision, Deep Learning Approaches, and Histogram Equalization Techniques

    Aziza Ergasheva, Farkhod Akhmedov, Akmalbek Abdusalomov +1

    MaqolaFire Detection and Safety SystemsFire202412 iqtibos
    ABI

  3. Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features

    Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov +2

    MaqolaEmotion and Mood RecognitionSensors202311 iqtibos
    ABI

  4. Machine Learning Price Prediction on Green Building Prices

    Fayzullo Makhmadiyarovich Nazarov, Sherzodjon Yarmatov, Munis M. Xamidov

    MaqolaHousing Market and Economics202411 iqtibos
    ABI

  5. Fire and Smoke Detection in Complex Environments

    Furkat Safarov, Shakhnoza Muksimova, Misirov Kamoliddin +1

    MaqolaFire Detection and Safety SystemsFire20244 iqtibos
    ABI

  6. Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue

    Xinyun Hu, Gabriël Lodewijks

    Sharh maqola20202 iqtibos
    ABI

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