Showing 21 - 40 results of 44 for search '"CNN"', query time: 0.04s Refine Results
  1. 21
    by Saleem, Hasan Nabeel
    Published 2020
    ... convolutional neural network algorithms (CNN). The main contribution of this work is to detect and classify ‘TB...
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  2. 22
    by Shu, Shi Hao
    Published 2020
    ... Network (CNN) is a method that is gaining popularity to solve the feature extraction problem since it can...
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  3. 23
    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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  4. 24
    by Goh, Voon Hueh
    Published 2023
    ... using video-based and image-based input. Convolutional neural network (CNN) has benefited technology...
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  5. 25
    by Wan Abd. Kadir, Wan Zahiruddin
    Published 2018
    ... (CNN) and map their temporal relationship using full connected layer and softmax layer...
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  6. 26
    by Liew, Shan Sung
    Published 2016
    ... require flipping of kernel weights, thus increasing the computation time of a CNN. Sigmoidal activation...
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  7. 27
    by Wong, Ngei Siong
    Published 2022
    ...-CNN), most of them have trade off between accuracy and speed in object detection. The accuracy also...
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  8. 28
    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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  9. 29
    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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  10. 30
    by Lim, Chin Shen
    Published 2021
    ... sound, the audio is converted into an image. Therefore, Convolutional Neural Network (CNN) model...
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  11. 31
    by Yap, Yoon Heng
    Published 2022
    ... annotator prior to training and testing with the Mask R-CNN, YOLOv5 networks. After that, these images were...
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  12. 32
    by Quah, Poey Poey
    Published 2020
    ... anatomy. Semantic segmentation with ConvolutionalNeuralNetwork (CNN) is used to construct the salient map...
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  13. 33
    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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  14. 34
    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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  15. 35
    by Adrees, Salim Ali Abdulrraziq
    Published 2020
    ... (GPU) is considerably better than convolutional neural network (CNN) at recognizing highly overlapping...
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  16. 36
    by Ngo, Wai Loon
    Published 2015
    ... implementation of Convolution Neural Network (CNN) application are taking large amount of CPU cycle to fetch...
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  17. 37
    ... (CBPNN), and convolutional neural network (CNN) were used to design three self-tuning PID controllers...
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  18. 38
    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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  19. 39
    ... on Recurrent Neural Networks (RNN) or Convolutional Neural Networks (CNN). RNN-based action recognition methods...
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  20. 40
    by Yeoh, Mei Hwei
    Published 2020
    ... on Faster R-CNN with Inception-V2 architecture by fine tuning the training configuration parameters...
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