Showing 1 - 19 results of 19 for search '"CNN"', query time: 0.40s Refine Results
  1. 1
    CNN based lane detection with instance segmentation in edge-cloud computing
    by Wei Wang, Hui Lin, Junshu Wang
    Published 2020-05-01
    “.... The traditional lane detection method is improved, and the current popular convolutional neural network (CNN...”
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    Article
  2. 2
    Ship Target Detection Algorithm Based on Improved Faster R-CNN
    Subjects: “...Faster R-CNN...”
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    Article
  3. 3
    A two-route CNN model for bank account classification with heterogeneous data.
    “... in the time series data. In this paper, a two route convolution neural network TRHD-CNN model, fed with two...”
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    Article
  4. 4
    Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks
    by Lu Deng, Hong-Hu Chu, Peng Shi, Wei Wang, Xuan Kong
    Published 2020-04-01
    “... on the detection of out-of-plane cracks. To overcome this drawback, a new type of region-based CNN (R-CNN) crack...”
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    Article
  5. 5
    Infrared Thermal Imaging-Based Crack Detection Using Deep Learning
    by Jun Yang, Wei Wang, Guang Lin, Qing Li, Yeqing Sun, Yixuan Sun
    Published 2019-01-01
    Subjects: “...faster R-CNN...”
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    Article
  6. 6
    Automatic Building Extraction from Google Earth Images under Complex Backgrounds Based on Deep Instance Segmentation Network
    Subjects: “...Mask R-CNN...”
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    Article
  7. 7
    Residual Strength Evaluation of Corroded Textile-Reinforced Concrete by the Deep Learning-Based Method
    by Wei Wang, Peng Shi, Lu Deng, Honghu Chu, Xuan Kong
    Published 2020-07-01
    Subjects: “...faster R-CNN...”
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    Article
  8. 8
    Detecting Fraudulent Bank Account Based on Convolutional Neural Network with Heterogeneous Data
    “... models, i.e., NTD-CNN, TTD-CNN, and HDF-CNN, are created to identify whether a bank account is fraudulent...”
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    Article
  9. 9
    Memristor Based Binary Convolutional Neural Network Architecture With Configurable Neurons
    “...The memristor-based convolutional neural network (CNN) gives full play to the advantages...”
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    Article
  10. 10
    Design and Performance Evaluation of a Deep Neural Network for Spectrum Recognition of Underwater Targets
    by Dali Liu, Xuchen Zhao, Wenjing Cao, Wei Wang, Yi Lu
    Published 2020-01-01
    “... convolutional neural network (1D-CNN) was proposed to recognize the line spectrums of Detection of Envelope...”
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    Article
  11. 11
    SRNet: Structured Relevance Feature Learning Network From Skeleton Data for Human Action Recognition
    by Weizhi Nie, Wei Wang, Xiangdong Huang
    Published 2019-01-01
    “... on this design, we proposed an end-to-end multi-dimensional CNN network (SRNet) to fully consider the spatial...”
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    Article
  12. 12
    De novo Nanopore read quality improvement using deep learning
    by Nathan LaPierre, Rob Egan, Wei Wang, Zhong Wang
    Published 2019-11-01
    “... Neural Network (CNN) based method, called MiniScrub, for identification and subsequent “scrubbing...”
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    Article
  13. 13
    Temporal Spiking Recurrent Neural Network for Action Recognition
    “.... The conventional CNN-RNNs typically used for this problem treat all the frames equally important...”
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    Article
  14. 14
    Gradient-Sensitive Optimization for Convolutional Neural Networks
    by Zhipeng Liu, Rui Feng, Xiuhan Li, Wei Wang, Xiaoling Wu
    Published 2021-01-01
    “.... Gradient descent optimization (GD) is the basic algorithm for CNN model optimization. Since GD appeared, a...”
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    Article
  15. 15
    Image Target Recognition via Mixed Feature-Based Joint Sparse Representation
    by Xin Wang, Can Tang, Ji Li, Peng Zhang, Wei Wang
    Published 2020-01-01
    “... (CNN) are used to extract the Gabor wavelet features and deep features of training samples and test...”
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    Article
  16. 16
    PolSAR Image Land Cover Classification Based on Hierarchical Capsule Network
    “... feature learning capabilities. However, a single neuron in the CNN cannot represent multiple polarimetric...”
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    Article
  17. 17
    RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks.
    “..., our work explored the power of a 3D convolutional neural network (CNN)-based approach as a quality...”
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    Article
  18. 18
    Learning Slimming SAR Ship Object Detector Through Network Pruning and Knowledge Distillation
    by Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang
    Published 2021-01-01
    “... detector in comparison of with other CNN-based algorithms. The detection results demonstrate...”
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    Article
  19. 19
    Prediction of BRCA Gene Mutation in Breast Cancer Based on Deep Learning and Histopathology Images
    “... and the patients’ gBRCA mutation status.MethodsIn this study, we trained a deep convolutional neural network (CNN...”
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    Article
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