Digital Library

1. 1. A Method for Progressive Accumulative Data-Free Pruning and Restoration of Convolutional Neural Networks
   Yeje Choi, Kyoungwon Park, Juhyoung Sung, Kiwon Kwon, Byoungchul Song, Taeho Im, Vol. 26, No. 6, pp. 109-120, Dec. 2025
   10.7472/jksii.2025.26.6.109
   Keywords: Network Pruning, filter pruning, Data-free Restoration, Structured pruning, edge AI
2. 2. A Study on Time-Series Prediction of Restoring Arm (GZ) and Risk Assessment Using Multi-DOF Ship Motion Data
   Hyungtak Ju, Kyoungwon Park, Juhyoung Sung, Kiwon Kwon, Byoungchul Song, Taeho Im, Vol. 26, No. 5, pp. 65-74, Oct. 2025
   10.7472/jksii.2025.26.5.65
   Keywords: Ship Stability, Ship Safety, Time-Series Forecasting, Transformer-based Models
3. 3. Multi-Variate Tabular Data Processing and Visualization Scheme for Machine Learning based Analysis: A Case Study using Titanic Dataset
   Juhyoung Sung, Kiwon Kwon, Kyoungwon Park, Byoungchul Song, Vol. 25, No. 4, pp. 121-130, Aug. 2024
   10.7472/jksii.2024.25.4.121
   Keywords: data processing, Data visualization, Kaggle, Machine Learning, statistical analysis, Tabular data, Titanic dataset
4. 4. Design of a Recommendation System for Improving Deep Neural Network Performance
   Juhyoung Sung, Kiwon Kwon, Byoungchul Song, Vol. 25, No. 1, pp. 49-56, Feb. 2024
   10.7472/jksii.2024.25.1.49
   Keywords: Collaborative Filtering, deep neural network, matrix factorization, Recommendation System, Singular Value Decomposition