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9 ta ish

Ish: Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders

  1. Deep Learning Recommendations of E-Education Based on Clustering and Sequence

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    MaqolaRecommender Systems and TechniquesElectronics202312 iqtibos
    ABI

  2. 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

  3. Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection

    Farkhod Akhmedov, Rashid Nasimov, Akmalbek Abdusalomov

    MaqolaFire Detection and Safety SystemsFire20247 iqtibos
    ABI

  4. Applying Enhanced Real-Time Monitoring and Counting Method for Effective Traffic Management in Tashkent

    Alpamis Kutlimuratov, Jamshid Khamzaev, Temur Kuchkorov +2

    MaqolaVideo Surveillance and Tracking MethodsSensors20234 iqtibos
    ABI

  5. Improved Speech Emotion Recognition Focusing on High-Level Data Representations and Swift Feature Extraction Calculation

    Akmalbek Abdusalomov, Alpamis Kutlimuratov, Rashid Nasimov +1

    MaqolaEmotion and Mood RecognitionComputers, materials & continua/Computers, materials & continua (Print)20234 iqtibos
    ABI

  6. Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

    Ilkhomjon Pulatov, Rashid Oteniyazov, Fazliddin Makhmudov +1

    MaqolaEmotion and Mood RecognitionSensors20231 iqtibos
    ABI

  7. Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures

    Fazliddin Makhmudov, Alpamis Kultimuratov, Young Im Cho

    MaqolaEmotion and Mood RecognitionApplied Sciences20241 iqtibos
    ABI

  8. Object Extraction-Based Comprehensive Ship Dataset Creation to Improve Ship Fire Detection

    Farkhod Akhmedov, Sanjar Mukhamadiev, Akmalbek Abdusalomov +1

    MaqolaFire Detection and Safety SystemsFire20241 iqtibos
    ABI

  9. Hybrid LSTM–Attention and CNN Model for Enhanced Speech Emotion Recognition

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Young Im Cho

    MaqolaEmotion and Mood RecognitionApplied Sciences20240 iqtibos
    ABI