Showing 1 - 16 results of 16 for search '"CNN"', query time: 0.04s Refine Results
  1. 1
    by Abd. Hamid, Nur Amirah
    Published 2022
    ...The robustness of Convolutional Neural Network (CNN) architecture as the innovative technology has...
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  2. 2
    by Che Man, Muhammad Afiq
    Published 2022
    ...) and Convolutional Neural Networks (CNNs). In the early adoption of CNN to solve BCI based on EEG, the raw EEG signal...
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  3. 3
    by Omar, Salma Hussein
    Published 2019
    ... Network (CNN). CNN trains a classifier on data by passing learned features through different layers...
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  4. 4
    by Manoochehr, Noghanian Toroghi
    Published 2021
    ... Convolutional Neural Network (CNN)-based models as well as vision transformer (ViT) in image classification...
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  5. 5
    ... convolutional neural network (CNN) to screen diseases from the blood smear images. The focus would...
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  6. 6
    by Rizvi, Shahriyar Masud
    Published 2023
    ... computationally efficient approach for performing CNN training and inference. State-of-the-art SpCNNs propose...
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  7. 7
    by Ahmad Izzuddin, Tarmizi
    Published 2022
    ...) algorithms such as the convolutional neural networks (CNN) has been explored in decoding electroencephalogram...
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  8. 8
    by Al-Ashbi, Abdulaziz
    Published 2022
    ... Convolutional neural network (DL-CNN) approaches on solving many unconstrained face detection problems in recent...
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  9. 9
    by Tan, Zhi Wei
    Published 2022
    ... or not by utilizing Convolutional Neural Network (CNN). In this project, the CNN architecture, MobileNetV2 is being...
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  10. 10
    by Ghazalli, Shuwaibatul Aslamiah
    Published 2022
    ... on raw image data were processed before using them as inputs to the Convolution Neural Network (CNN...
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  11. 11
    by Lim, Chin Shen
    Published 2021
    ... sound, the audio is converted into an image. Therefore, Convolutional Neural Network (CNN) model...
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  12. 12
    by Omran, Alaa Hamzah
    Published 2022
    ...), SVM, Fuzzy, HMM, and Convolutional Neural Network (CNN). The comparison is carried out in terms...
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  13. 13
    by Khan, Muhammad Turyalai
    Published 2023
    ... and the background signal. The CNN is used as a deep feature extractor by transforming the intermediate frequency...
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  14. 14
    by Nor Muhammad, Nor Aziah Amirah
    Published 2022
    ... combined the deep learning method with the RetinaNet and Mask R-CNN models, which could perform...
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  15. 15
    ... on Recurrent Neural Networks (RNN) or Convolutional Neural Networks (CNN). RNN-based action recognition methods...
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  16. 16
    by Dzulkefli, Syasya Farina
    Published 2022
    .... After achieved a balanced dataset, CNN model will be implemented to set benchmark of detection accuracy...
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