• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Digital Library


Search: "[ keyword: 딥러닝 ]" (15)
  1. 1. Deep Learning based Abnormal Vibration Prediction of Drone
    Jun-Ki Hong, Yang-Kyoo Lee, Vol. 22, No. 3, pp. 67-73, Jun. 2021
    10.7472/jksii.2021.22.3.67
    Keywords: Deep Learning, RNN, LSTM, Drone, Motor, Vibration
  2. 2. A Noise-Tolerant Hierarchical Image Classification System based on Autoencoder Models
    Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
    10.7472/jksii.2021.22.1.23
    Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise
  3. 3. An LSTM Neural Network Model for Forecasting Daily Peak Electric Load of EV Charging Stations
    Haesung Lee, Byungsung Lee, Hyun Ahn, Vol. 21, No. 5, pp. 119-127, Oct. 2020
    10.7472/jksii.2020.21.5.119
    Keywords: EV, Peak electric load, Load forecasting, Deep Learning, LSTM
  4. 4. Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision, Audio, Activity and Dust Sensors
    Ju-ho Jung, Do-hyun Lee, Seong-su Kim, Jun-ho Ahn, Vol. 21, No. 5, pp. 109-118, Oct. 2020
    10.7472/jksii.2020.21.5.109
    Keywords: vision, Audio, Activity, Dust, Sensors, Deep Learning, abnormal event, patterns
  5. 5. Design of Video Pre-processing Algorithm for High-speed Processing of Maritime Object Detection System and Deep Learning based Integrated System
  6. 6. Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events
    Ju-ho Jung, Da-hyeon Kim, Chul-su Kim, Ryum-duck Oh, Jun-ho Ahn, Vol. 21, No. 4, pp. 109-116, Aug. 2020
    10.7472/jksii.2020.21.4.109
    Keywords: Rapid-transit railway, Railway, Deep Learning, Fusion
  7. 7. A Comparative Study on the Effective Deep Learning for Fingerprint Recognition with Scar and Wrinkle
  8. 8. Deep Learning-based Abnormal Behavior Detection System for Dementia Patients
    Kookjin Kim, Seungjin Lee, Sungjoong Kim, Jaegeun Kim, Dongil Shin, Dong-kyoo shin, Vol. 21, No. 3, pp. 133-144, Jun. 2020
    10.7472/jksii.2020.21.3.133
    Keywords: Abnomaly detection, deep-learning, Autoencoder, Long Short-Term Memory models
  9. 9. 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
  10. 10. 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