Showing 1 - 20 results of 44 for search '"CNN"', query time: 0.04s Refine Results
  1. 1
    by Chok, Yong Sheng
    Published 2022
    ... recognition networks are built and executed on high-end and costly hardware. Second, the existing CNN mouth...
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  2. 2
    by Abd. Hamid, Nur Amirah
    Published 2022
    ...The robustness of Convolutional Neural Network (CNN) architecture as the innovative technology has...
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  3. 3
    by Ahmad Radzi, Syafeeza
    Published 2014
    ...The Convolutional Neural Network (CNN), a variant of the Multilayer Perceptron (MLP), has shown...
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  4. 4
    by Tee, Yun Hong
    Published 2020
    ... Network (CNN) model, to train a bird activity detector that is low in memory usage with decent accuracy...
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  5. 5
    by Goh, Jinn Chyn
    Published 2020
    ...Convolutional Neural Network (CNN) are widely used in the field of computer vision and show its...
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  6. 6
    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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  7. 7
    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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  8. 8
    by Hamdan, Hamdan Usamah
    Published 2020
    ... and the complete SC system for convolutional neural network (CNN), which is the dominant approach...
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  9. 9
    by Tan, Pei Hong
    Published 2022
    ... be achieved. In this paper, we propose a 1D convolutional neural network (CNN) architecture for bird sound...
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  10. 10
    by Ng, Su Fen
    Published 2019
    ... of convolutional neural network (CNN) as one of the powerful tools for accurate and effective image recognition...
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  11. 11
    ...Convolution Neural Network (CNN) is a special kind of neural network that is inspired...
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  12. 12
    by Saad, Aymen
    Published 2020
    ... more practical approach. Previously, Convolutional Neural Network (CNN) approach had achieved excellent...
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  13. 13
    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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  14. 14
    by Mazli, Muhamad Syafiq
    Published 2020
    ..., as the number of Malaysians who travel overseas is increasing every year. Convolutional Neural Networks (CNN...
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  15. 15
    ... convolutional neural network (CNN) to screen diseases from the blood smear images. The focus would...
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  16. 16
    by Musa, Nurfaizah
    Published 2020
    ... Convolution Neural Network (CNN) architecture which takes longer time in the processing stages as data needs...
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  17. 17
    by Hamza, Hentabli
    Published 2019
    ... prediction of chemical compounds. The molecules are represented as a convolutional neural network (CNN...
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  18. 18
    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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  19. 19
    by Rashid, Rashid Taha Siham
    Published 2022
    ...The project aims to create a Convolutional neural network (CNN) to detect and classify building...
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  20. 20
    by Ahmad Izzuddin, Tarmizi
    Published 2022
    ...) algorithms such as the convolutional neural networks (CNN) has been explored in decoding electroencephalogram...
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