Showing 1 - 20 results of 29 for search '"CNN"' Refine Results
  1. 1
    ... convolutional neural networks (CNN) and non-local neural networks, which can effectively extract complex...
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  2. 2
    ... user activities performed on mobile applications using Convolutional Neural Network (CNN). The proposed...
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  3. 3
    by Ali A. Alani, Georgina Cosma
    Published 2021
    ... network (CNN) for translating Arabic SL (ArSL). Experiments were performed using a large ArSL dataset...
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  4. 4
    by Dewei Yi, Jinya Su, Wen-Hua Chen
    Published 2021
    .... This paper proposes a probabilistic faster R-CNN algorithm with stochastic region proposing, where a...
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  5. 5
    .... This study proposed a novel multi-scale mapping approach based on convolutional neural network (CNN) to deal...
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  6. 6
    ...) is integrated with a Convolutional Neural Network (CNN) to design a new machine learning method, AdaBoost-CNN...
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  10. 10
    Subjects: '; ...Regional–Convolution Neural Network (R-CNN)...
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    ... for specific CNN structures to address their processing. This paper proposes a new CNN for classifying time...
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  15. 15
    ... convolutional neural network (CNN) method is presented for rapid prediction of fluvial flood inundation. The CNN...
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  16. 16
    .... This paper introduces a 3D convolutional neural networks (CNN) based SVQA framework that can model not only...
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  17. 17
    ... Detection (FSD), are delegated to Convolutional Neural Networks (CNN). If the dataset used to train...
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  18. 18
    .... We also propose and evaluate a multi-scale multi-CNN (MSM-CNN) fusion approach based on a three-level...
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  19. 19
    ... convolutional neural network (CNN)-based techniques have delivered the best results. In this paper, we propose a...
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  20. 20
    by Argyro Elisavet Manoli
    Published 2017
    ... of the blooming esport industry (reported to soon reach US $1 billion according to CNN, 2016), and the projected...
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