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

Digital Library


Search: "[ keyword: ICT ]" (41)
  1. 1. A Foundational Study on Developing a Structural Model for AI-based Sentencing Prediciton Based on Violent Crime Judgment
    Woongil Park, Eunbi Cho, Jeong-Hyeon, Chang Joo-chang Kim, Vol. 25, No. 1, pp. 91-98, Feb. 2024
    10.7472/jksii.2024.25.1.91
    Keywords: Sentencing, Predict sentencing, Judgment, Judgment structure, AI
  2. 2. A Machine Learning-based Popularity Prediction Model for YouTube Mukbang Content
    Beomgeun Seo, Hanjun Lee, Vol. 24, No. 6, pp. 49-55, Dec. 2023
    10.7472/jksii.2023.24.6.49
    Keywords: Machine Learning, YouTube, Mukbang, Popularity Prediction, Predictive model
  3. 3. Deep Prediction of Stock Prices with K-Means Clustered Data Augmentation
    Kyounghoon Han, Huigyu Yang, Hyunseung Choo, Vol. 24, No. 2, pp. 67-74, Apr. 2023
    10.7472/jksii.2023.24.2.67
    Keywords: Stock Price Prediction, clustering, data augmentation, Deep Learning, Artificial intelligence
  4. 4. TGC-based Fish Growth Estimation Model using Gaussian Process Regression Approach
  5. 5. A study on the cyber common operation picture for situational awareness in cyberspace
  6. 6. An Accurate Cryptocurrency Price Forecasting using Reverse Walk-Forward Validation
    Hyun Ahn, Baekcheol Jang, Vol. 23, No. 4, pp. 45-55, Aug. 2022
    10.7472/jksii.2022.23.4.45
    Keywords: Cryptocurrency, Price Prediction, Machine Learning
  7. 7. A Study on Defense and Attack Model for Cyber Command Control System based Cyber Kill Chain
  8. 8. Prediction of infectious diseases using multiple web data and LSTM
    Yeongha Kim, Inhwan Kim, Beakcheol Jang, Vol. 21, No. 5, pp. 139-148, Oct. 2020
    10.7472/jksii.2020.21.5.139
    Keywords: Machine Learning, Predict infectious diseases, Web data, LSTM
  9. 9. Improved Slow Charge Scheme for non-communication Electric Vehiclesby Predicting Charge Demand
    Tae Uk Chang, Young Su Ryu, Ki Won Kwon, Jong Ho Paik, Vol. 21, No. 5, pp. 39-48, Oct. 2020
    10.7472/jksii.2020.21.5.39
    Keywords: Electric vehicle, charge schedule, distributed charge, demand prediction
  10. 10. 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