• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/
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Search: "[ author: Young Kim ]" (6)
  1. 1. The Effect of Shoe Heel Types and Gait Speeds on Knee Joint Angle in Healthy Young Women – A Preliminary Study
    Vantha Chhoeum, Changwon Wang, Seungwan Jang, Se Dong Min, Young Kim, Min-Hyung Choi, Vol. 21, No. 6, pp. 41-50, Dec. 2020
    10.7472/jksii.2020.21.6.41
    Keywords: High heels, Outsole, Gait, Knee joint angle
  2. 2. Random Balance between Monte Carlo and Temporal Difference in off-policy Reinforcement Learning for Less Sample-Complexity
    Chayoung Kim, Seohee Park, Woosik Lee, Vol. 21, No. 5, pp. 1-7, Oct. 2020
    10.7472/jksii.2020.21.5.1
    Keywords: Deep Q-Network, Temporal Difference, Monte Carlo, Reinforcement Learning, Variation and Bias Balance
  3. 3. An Implementation of an Intelligent Access Point System Based on a Feed Forward Neural Network for Internet of Things
    Youngchan Lee, SoYeon Lee, Dae-Young Kim, Vol. 20, No. 5, pp. 95-104, Oct. 2019
    10.7472/jksii.2019.20.5.95
    Keywords: Internet of Things, WiFi, Feed Forward Neural Network, Access point, Network Control
  4. 4. Variable Selection of Feature Pattern using SVM-based Criterion with Q-Learning in Reinforcement Learning
    Chayoung Kim, Vol. 20, No. 4, pp. 21-27, Aug. 2019
    10.7472/jksii.2019.20.4.21
    Keywords: Support-Vector Machine, RNA sequencing Big-Data, Support Vector Machine-Recursive Feature Elimination, Q-learning, Reinforcement Learning
  5. 5. An Exploratory Study on Success Factors of Technology-based start-ups
    Dong Hyuk Jo, Jong Young Kim, Vol. 19, No. 6, pp. 113-123, Dec. 2018
    10.7472/jksii.2018.19.6.113
    Keywords: Technology-based start-ups, Innovation Performance, Technological Entrepreneurship, Network Capability, Technology Innovation Capability
  6. 6. Combining Support Vector Machine Recursive Feature Elimination and Intensity-dependent Normalization for Gene Selection in RNAseq
    Chayoung Kim, Vol. 18, No. 5, pp. 47-53, Oct. 2017
    10.7472/jksii.2017.18.5.47
    Keywords: Support-Vector Machine, RNAseq, Big-Data, Intensity-dependent Normalization, SVM-RFE

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