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Search: "[ keyword: Convolutional Neural Network ]" (15)
    Fake News Detection Using CNN-based Sentiment Change Patterns
    Tae Won Lee, Ji Su Park, Jin Gon Shon KIPS Transactions on Software and Data Engineering, Vol. 12, No. 4, pp. 179-188, Apr. 2023
    https://doi.org/10.3745/KTSDE.2023.12.4.179
    Keywords: Convolutional neural networks, Sentiment Change Patterns, fake news


    Performance Improvement Method of Convolutional Neural Network Using Combined Parametric Activation Functions
    Young Min Ko, Peng Hang Li, Sun Woo Ko KIPS Transactions on Software and Data Engineering, Vol. 11, No. 9, pp. 371-380, Sep. 2022
    https://doi.org/10.3745/KTSDE.2022.11.9.371
    Keywords: Convolutional Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Loss Function


    Distracted Driver Detection and Characteristic Area Localization by Combining CAM-Based Hierarchical and Horizontal Classification Models
    Sooyeon Go, Yeongwoo Choi KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 439-448, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.439  
    Keywords: Distracted Driver Detection, Convolutional neural networks, Class Activation Maps, Attention Area Localization


    1D CNN and Machine Learning Methods for Fall Detection
    Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 85-90, Mar. 2021
    https://doi.org/10.3745/KTSDE.2021.10.3.85
    Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network


    Mortality Prediction of Older Adults Using Random Forest and Deep Learning
    Junhyeok Park, Songwook Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 10, pp. 309-316, Oct. 2020
    https://doi.org/10.3745/KTSDE.2020.9.10.309
    Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning


    Performance Improvement Method of Convolutional Neural Network Using Agile Activation Function
    Na Young Kong, Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering, Vol. 9, No. 7, pp. 213-220, Jul. 2020
    https://doi.org/10.3745/KTSDE.2020.9.7.213  
    Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning


    Estimating Gastrointestinal Transition Location Using CNN-based Gastrointestinal Landmark Classifier
    Hyeon Woong Jang, Chang Nam Lim, Ye-Suel Park, Gwang Jae Lee, Jung-Won Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 3, pp. 101-108, Mar. 2020
    https://doi.org/10.3745/KTSDE.2020.9.3.101  
    Keywords: Capsule Endoscopy(CE), Convolutional Neural Network(CNN), Gastrointestinal Location Tracking


    Camera Model Identification Based on Deep Learning
    Soo Hyeon Lee, Dong Hyun Kim, Hae-Yeoun Lee KIPS Transactions on Software and Data Engineering, Vol. 8, No. 10, pp. 411-420, Oct. 2019
    https://doi.org/10.3745/KTSDE.2019.8.10.411
    Keywords: Deep Learning, Camera Model Identification, Convolutional Neural Network, High Pass Filter, Gray Level Co-Occurrence Matrix


    CRNN-Based Korean Phoneme Recognition Model with CTC Algorithm
    Hong Yoonseok, Ki Kyungseo, Gweon Gahgene KIPS Transactions on Software and Data Engineering, Vol. 8, No. 3, pp. 115-122, Mar. 2019
    https://doi.org/10.3745/KTSDE.2019.8.3.115
    Keywords: Phoneme Recognition, CTC Algorithm, Convolutional Neural Network, Recurrent Neural Network


    Printer Identification Methods Using Global and Local Feature-Based Deep Learning
    Soo-Hyeon Lee, Hae-Yeoun Lee KIPS Transactions on Software and Data Engineering, Vol. 8, No. 1, pp. 37-44, Jan. 2019
    https://doi.org/10.3745/KTSDE.2019.8.1.37
    Keywords: Global Feature, Local Feature, Deep Learning, Printer Identification, Convolutional Neural Network