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