• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Search: "[ keyword: 딥러닝 ]" (27)
  1. 21. LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques
    Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
    10.7472/jksii.2020.21.3.83
    Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining
  2. 22. A layered-wise data augmenting algorithm for small sampling data
    Hee-chan Cho, Jong-sub Moon, Vol. 20, No. 6, pp. 65-72, Dec. 2019
    10.7472/jksii.2019.20.6.65
    Keywords: Deep Learning, data augmentation, Eigen decomposition
  3. 23. CNN-based Shadow Detection Method using Height map in 3D Virtual City Model
    Hee Jin Yoon, Ju Wan Kim, In Sung Jang, Byung-Dai Lee, Nam-Gi Kim, Vol. 20, No. 6, pp. 55-63, Dec. 2019
    10.7472/jksii.2019.20.6.55
    Keywords: shadow detection, deep-learning
  4. 24. A Study on Model for Drivable Area Segmentation based on Deep Learning
    Hyo-jin Jeon, Soo-sun Cho, Vol. 20, No. 5, pp. 105-111, Oct. 2019
    10.7472/jksii.2019.20.5.105
    Keywords: Drivable area segmentation, segmentation, Deep Learning, DeepLab V3+, Mask R-CNN, BDD Dataset
  5. 25. A Study on the Pipe Position Estimation in GPR Images Using Deep Learning Based Convolutional Neural Network
    Jihun Chae, Hyoung-yong Ko, Byoung-gil Lee, Namgi Kim, Vol. 20, No. 4, pp. 39-46, Aug. 2019
    10.7472/jksii.2019.20.4.39
    Keywords: sink holes, pipe, GPR, Image recognition, underground detection, CNN, deep-learning
  6. 26. Visualization of Malwares for Classification Through Deep Learning
    Hyeonggyeom Kim, Seokmin Han, Suchul Lee, Jun-Rak Lee, Vol. 19, No. 5, pp. 67-75, Oct. 2018
    10.7472/jksii.2018.19.5.67
    Keywords: Malware visualization, mawlare detection and classification, Deep Learning, CNN
  7. 27. Indoor Space Recognition using Super-pixel and DNN
    Kisang Kim, Hyung-Il Choi, Vol. 19, No. 3, pp. 43-48, Jun. 2018
    10.7472/jksii.2018.19.3.43
    Keywords: Deep Learning, Super-pixel, Indoor-space recognition

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