Digital Library

1. 31. 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. 32. A Study on Effective Adversarial Attack Creation for Robustness Improvement of AI Models
   Si-on Jeong, Tae-hyun Han, Seung-bum Lim, Tae-jin Lee, Vol. 24, No. 4, pp. 25-36, Aug. 2023
   10.7472/jksii.2023.24.4.25
   Keywords: Artificial intelligence, robustness, Adversarial attack
3. 33. 3D Medical Image Data Augmentation for CT Image Segmentation
   Seonghyeon Ko, Huigyu Yang, Moonseong Kim, Hyunseung Choo, Vol. 24, No. 4, pp. 85-92, Aug. 2023
   10.7472/jksii.2023.24.4.85
   Keywords: Rib fracture segmentation, data augmentation, Deep Learning, Artificial intelligence
4. 34. 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
5. 35. A study on the measurement indicators for risk prevention of AI robots
   Hyun-kyoung Song, Seongjin Ahn, Vol. 24, No. 3, pp. 27-41, Jun. 2023
   10.7472/jksii.2023.24.3.27
   Keywords: AI robot, artificial intelligence robot, AI robot risk, AI robot risk prevention, AI robot risk measurement indicators, AI robot measurement indicators
6. 36. 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