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Работы, на которые ссылается эта работа

Работ: 19

Работа: Parallel Approaches to Accelerate Deep Learning Processes Using Heterogeneous Computing

  1. Evaluating Synthetic Medical Images Using Artificial Intelligence with the GAN Algorithm

    Akmalbek Abdusalomov, Rashid Nasimov, Nigorakhon Nasimova +2

    СтатьяAI in cancer detectionSensors2023Цитирований: 19
    ABI

  2. Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm

    Akmalbek Abdusalomov, Furkat Safarov, Mekhriddin Rakhimov +2

    СтатьяSpeech and Audio ProcessingSensors2022Цитирований: 17
    ABI

  3. Parallel processing capabilities in the process of speech recognition

    Rakhimov Mekhriddin Fazliddinovich, Berdanov Ulug’bek Abdumurodovich

    СтатьяSpeech and Audio Processing2017Цитирований: 15
    ABI

  4. Accelerated Training for Convolutional Neural Networks

    Muhammadjon Musaev, Mekhriddin Rakhimov

    СтатьяHandwritten Text Recognition Techniques2020 International Conference on Information Science and Communications Technologies (ICISCT)2020Цитирований: 15
    ABI

  5. An Improved Forest Fire Detection Method Based on the Detectron2 Model and a Deep Learning Approach

    Akmalbek Abdusalomov, Bappy MD Siful Islam, Rashid Nasimov +2

    СтатьяFire Detection and Safety SystemsSensors2023Цитирований: 14
    ABI

  6. A Method of Mapping a Block of Main Memory to Cache in Parallel Processing of the Speech Signal

    Muhammadjon Musaev, Mekhriddin Rakhimov

    СтатьяAdvanced Data Processing Techniques2019 International Conference on Information Science and Communications Technologies (ICISCT)2019Цитирований: 14
    ABI

  7. Parallel Implementation of Real-Time Object Detection using OpenMP

    Mekhriddin Rakhimov, Jamshid Elov, Utkir Khamdamov +2

    СтатьяMedical Image Segmentation Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 13
    ABI

  8. Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety

    Furkat Safarov, Farkhod Akhmedov, Akmalbek Abdusalomov +2

    СтатьяSleep and Work-Related FatigueSensors2023Цитирований: 12
    ABI

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

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    СтатьяRecommender Systems and TechniquesElectronics2023Цитирований: 12
    ABI

  10. A High-Performance Parallel Approach to Image Processing in Distributed Computing

    Mekhriddin Rakhimov, Doniyor Mamadjanov, Abulkosim Mukhiddinov

    СтатьяAdvanced Data Processing Techniques2020Цитирований: 10
    ABI

  11. Artificial Intelligence in Medicine for Chronic Disease Classification Using Machine Learning

    Mekhriddin Rakhimov, Ravshanjon Akhmadjonov, Shakhzod Javliev

    СтатьяArtificial Intelligence in Healthcare2022Цитирований: 10
    ABI

  12. New Approach for Generating Synthetic Medical Data to Predict Type 2 Diabetes

    Zarnigor Tagmatova, Akmalbek Abdusalomov, Rashid Nasimov +3

    СтатьяArtificial Intelligence in HealthcareBioengineering2023Цитирований: 10
    ABI

  13. Distribution of Operations in Heterogeneous Computing Systems for Processing Speech Signals

    Mekhriddin Rakhimov, Mannon Ochilov

    СтатьяAdvanced Data Processing Techniques2021Цитирований: 9
    ABI

  14. Uzbek Speech Synthesis Using Deep Learning Algorithms

    Malika Abdullaeva, Dilshod Juraev, Mannon Ochilov +1

    ГлаваSpeech Recognition and SynthesisLecture notes in computer science2023Цитирований: 9
    ABI

  15. Algorithm for Parallel Processing of a Speech Signal based on the Haar Wavelet

    Mekhriddin Rakhimov

    СтатьяAdvanced Scientific Research Methods2022Цитирований: 8
    ABI

  16. Speaker Separation: Use Neural Networks

    Mekhriddin Rakhimov, Boburkhon Turaev, Turaev Khurshid

    СтатьяSpeech and Audio Processing2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 5
    ABI

  17. AI-based Power Transformer Condition Assessment

    Mekhriddin Rakhimov, Dias Abdurakhmanov

    СтатьяPower Transformer Diagnostics and Insulation2022Цитирований: 5
    ABI

  18. Heterogeneous system implementation of deep learning neural network for object detection in OpenCL framework

    Shuai Li, Yukui Luo, Kuangyuan Sun +1

    Статья2018Цитирований: 3
    ABI

  19. Picasso: A CUDA-based Library for Deep Learning over 3D Meshes

    Huan Lei, Naveed Akhtar, Ajmal Mian

    Статья2021Цитирований: 3
    ABI