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

Digital Library


Search: "[ keyword: Learning ]" (174)
  1. 81. 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
  2. 82. Pedestrian Classification using CNN's Deep Features and Transfer Learning
    Soyoung Chung, Min Gyo Chung, Vol. 20, No. 4, pp. 91-102, Aug. 2019
    10.7472/jksii.2019.20.4.91
    Keywords: Pedestrian Classification, Transfer Learning, Deep Features, CNN, INRIA Person Data Set
  3. 83. Variable Selection of Feature Pattern using SVM-based Criterion with Q-Learning in Reinforcement Learning
  4. 84. 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
  5. 85. Development of Journal Recommendation Method Considering Importance of Decision Factors Based on Researchers' Paper Publication History
  6. 86. Semantic Indoor Image Segmentation using Spatial Class Simplification
    Jung-hwan Kim, Hyung-il Choi, Vol. 20, No. 3, pp. 33-41, Jun. 2019
    10.7472/jksii.2019.20.3.33
    Keywords: Semantic image segmentation, Indoor space structure, Machine Learning
  7. 87. Handwritten One-time Password Authentication SystemBased On Deep Learning
  8. 88. Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System
  9. 89. Deep Neural Network-Based Critical Packet Inspection for Improving Traffic Steering in Software-Defined IoT
  10. 90. Multi-source information integration framework using self-supervised learning-based language model