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18 ta ish

Ish: Optimizing Block Size and Memory Usage for Image Processing on GPU Using CUDA

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    ABI

  2. Parallel Approaches to Accelerate Deep Learning Processes Using Heterogeneous Computing

    Rashid Nasimov, Mekhriddin Rakhimov, Shakhzod Javliev +1

    BobGraph Theory and AlgorithmsLecture notes in computer science202412 iqtibos
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  3. A Computational Approach to Edge Detection

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  4. Sarlavhasiz

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  5. Generating and Evaluating Synthetic Medical Images

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    MaqolaAI in cancer detection20247 iqtibos
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  6. Deep learning parallel approach using CUDA technology

    Mekhriddin Rakhimov, Dilnoza Zaripova, Shakhzod Javliev +1

    MaqolaAdvanced Neural Network ApplicationsAIP conference proceedings20246 iqtibos
    ABI

  7. Optimizing Machine Learning Models with CUDA: A Comprehensive Performance Analysis

    L Niteesh, M B Ampareeshan, Suganiya Murugan

    Maqola20254 iqtibos
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  8. GAN-Based Novel Approach for Generating Synthetic Medical Tabular Data

    Rashid Nasimov, Nigorakhon Nasimova, Sanjar Mirzakhalilov +4

    MaqolaPrivacy-Preserving Technologies in DataBioengineering20242 iqtibos
    ABI

  9. Effectiveness of Deep Learning Based Filtering Algorithm in Separation of Human Objects from Images

    Sirojiddin Khalilov, Il’dar M. Yusupov, M. G. Mannapova +2

    BobAdvanced Neural Network ApplicationsLecture notes in computer science20232 iqtibos
    ABI

  10. Image Processing Hardware Acceleration—A Review of Operations Involved and Current Hardware Approaches

    Costin-Emanuel Vasile, A. Ulmamei, Călin Bîră

    Sharh maqola20242 iqtibos
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  11. Image parallel processing based on GPU

    Nan Zhang, Yunshan Chen, Jianli Wang

    Maqola20102 iqtibos
    ABI

  12. Accelerating Image Processing on GPU with CUDA Technology

    Mekhriddin Rakhimov, Shakhzod Javliev, Rashid Nasimov

    BobAdvanced Vision and ImagingLecture notes in computer science20251 iqtibos
    ABI

  13. Sarlavhasiz

    Boshqa1 iqtibos
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  15. Sarlavhasiz

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  16. Sarlavhasiz

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  17. Sarlavhasiz

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  18. Sarlavhasiz

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