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

Digital Library


Search: "[ keyword: process ]" (90)
  1. 71. Performance Analysis and Improvement of AI model for Radar Signal Modulation Type Classification based on Data Preprocessing
    Juhyoung Sung, Kiwon Kwon, Kyoungwon Park, Vol. 26, No. 4, pp. 31-39, Aug. 2025
    10.7472/jksii.2025.26.4.31
    Keywords: Artificial intelligence, CNN, Data Preprocessing, modulation type classification, Radar signal, STFT, WVD
  2. 72. The Comparison of Hazard Analysis for Preventing Accidents in Drone Systems
    Bo-yoon Choi, Byong-gul Lee, Vol. 26, No. 3, pp. 121-133, Jun. 2025
    10.7472/jksii.2025.26.3.121
    Keywords: Drone, safety assessment, Hazard analysis, Fault Tree Analysis (FTA), System-Theoretic Process Analysis (STPA)
  3. 73. A Visual Tracer of Process Instance Event Logs
    Dachan Jung, Dinh-Lam Pham, Kwanghoon Pio Kim, Vol. 26, No. 2, pp. 33-42, Apr. 2025
    10.7472/jksii.2025.26.2.33
    Keywords: XES, Process Mining, log visualization, trace animation
  4. 74. A Process Event-Trace-Log Pattern-Clustering and Preprocessing Framework
  5. 75. Research on DNS DRDoS Detection Methods Using CNN
  6. 76. Multi-Variate Tabular Data Processing and Visualization Scheme for Machine Learning based Analysis: A Case Study using Titanic Dataset
  7. 77. A Study on Machine Learning-Based Real-Time Gesture Classification Using EMG Data
    Ha-Je Park, Hee-Young Yang, So-Jin Choi, Dae-Yeon Kim, Choon-Sung Nam, Vol. 25, No. 2, pp. 57-67, Apr. 2024
    10.7472/jksii.2024.25.2.57
    Keywords: EMG, Machine Learning, Real time gestuer classification, EMG data preprocessing
  8. 78. Damage Detection and Damage Quantification of Temporary works Equipment based on Explainable Artificial Intelligence (XAI)
  9. 79. A Study on Automatic Discovery and Summarization Method of Battlefield Situation Related Documents using Natural Language Processing and Collaborative Filtering
  10. 80. Control-Path Driven Process-Group Discovery Framework and its Experimental Validation for Process Mining and Reengineering