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Search: "[ keyword: CNN ]" (7)
    A Study on the Optimization of Fire Awareness Model Based on Convolutional Neural Network: Layer Importance Evaluation-Based Approach
    Won Jin, Mi-Hwa Song The Transactions of the Korea Information Processing Society, Vol. 13, No. 9, pp. 444-452, Sep. 2024
    https://doi.org/10.3745/TKIPS.2024.13.9.444
    Keywords: Layer Importance Evaluation, transfer learning model, CNN Optimization, Real-Time Fire Detection, Contribution

    A Study on Leakage Detection Technique Using Transfer Learning-Based Feature Fusion
    YuJin Han, Tae-Jin Park, Jonghyuk Lee, Ji-Hoon Bae The Transactions of the Korea Information Processing Society, Vol. 13, No. 2, pp. 41-47, Feb. 2024
    https://doi.org/10.3745/TKIPS.2024.13.2.41
    Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning

    Effect Analysis of Data Imbalance for Emotion Recognition Based on Deep Learning
    Hajin Noh, Yujin Lim KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 8, pp. 235-242, Aug. 2023
    10.3745/KTCCS.2023.12.8.235  
    Keywords: Biased Data, XAI, LIME, Emotional Recognition, CNN

    Teacher-Student Architecture Based CNN for Action Recognition
    Yulan Zhao, Hyo Jong Lee KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 3, pp. 99-104, Mar. 2022
    https://doi.org/10.3745/KTCCS.2022.11.3.99  
    Keywords: Two-Stream Network, Teacher-Student Architecture, CNN, optical flow, Action Recognition

    CNN-Based Novelty Detection with Effectively Incorporating Document-Level Information
    Seongung Jo, Heung-Seon Oh, Sanghun Im, Seonho Kim KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 231-238, Oct. 2020
    https://doi.org/10.3745/KTCCS.2020.9.10.231
    Keywords: Deep Learning, CNN, Novelty Detection

    Fully Automatic Heart Segmentation Model Analysis Using Residual Multi-Dilated Recurrent Convolutional U-Net
    Sang Heon Lim, Myung Suk Lee KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 2, pp. 37-44, Feb. 2020
    10.3745/KTCCS.2020.9.2.37  
    Keywords: Deep Learning, Artificial intelligence, Heart Segmentation, algorithm, ANN, CNN

    CNN Architecture Predicting Movie Rating from Audience’s Reviews Written in Korean
    Hyungchan Kim, Heung-Seon Oh, Duksu Kim KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 1, pp. 17-24, Jan. 2020
    10.3745/KTCCS.2020.9.1.17  
    Keywords: NLP, CNN, Movie Rating, Un-Normalized Text Data

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KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

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