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

Digital Library


Search: "[ keyword: AI ]" (140)
  1. 91. A Study on Efficient AI Model Drift Detection Methods for MLOps
    Ye-eun Lee, Tae-jin Lee, Vol. 24, No. 5, pp. 17-27, Oct. 2023
    10.7472/jksii.2023.24.5.17
    Keywords: Artificail Inteligence, Machine Learning Model, Drift Detection, XAI, MLOps
  2. 92. A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model
    Changhee Han, Halim Ku, Pokki Park, Vol. 24, No. 4, pp. 57-64, Aug. 2023
    10.7472/jksii.2023.24.4.57
    Keywords: Artificial Intelligence System, object tracking, Surveillance system, Machine Learning/Training, User Interface
  3. 93. A study on the measurement indicators for risk prevention of AI robots
  4. 94. A Study on the High Reliability Audio Target Frequency Generator for Industry and Military
  5. 95. Enhancing Service Availability in Multi-Access Edge Computing with Deep Q-Learning
  6. 96. AI-based Cybersecurity Solution for Industrial Control System
    Bu-Seong Jo, Mun-Suk Kim, Vol. 23, No. 6, pp. 97-105, Dec. 2022
    10.7472/jksii.2022.23.6.97
    Keywords: ICS, AI, IDS, Data Collection, Model Evaluation
  7. 97. A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System
  8. 98. Adaptive Control Scheme of Air Tanker Ground Waiting Time Based on a Multi-Server Queuing Model
    Yong-Sik Sohn, Jong-Moon Chung, Vol. 23, No. 5, pp. 33-46, Oct. 2022
    10.7472/jksii.2022.23.5.33
    Keywords: Air Tanker, Queuing, M/G/c, M/M/c, Logistic Support
  9. 99. A Study on the Artificial Intelligence Ethics Measurement indicators for the Protection of Personal Rights and Property Based on the Principles of Artificial Intelligence Ethics
    Soonju So, Seongjin Ahn, Vol. 23, No. 3, pp. 111-123, Jun. 2022
    10.7472/jksii.2022.23.3.111
    Keywords: Artificial intelligence, AI ethics, AI ethics Measurement indicators, Measurement indicators, Personal Rights
  10. 100. A Study on Factors Affecting University Students' Satisfaction with YouTube AI Recommendation System
    LiuCun Zhu, Chao Wang, HaSung Hwang, Vol. 23, No. 3, pp. 77-85, Jun. 2022
    10.7472/jksii.2022.23.3.77
    Keywords: YouTube AI recommendation system, Satisfaction, TAM, Usefulness, preference suitability, privacy concerns