JICS

1. Review of medical imaging systems, medical imaging data problems, and XAI in the medical imaging field

Sun-Kuk Noh, Vol. 25, No. 5, pp. 53-65, Oct. 2024

10.7472/jksii.2024.25.5.53
Keywords: Artificial Intelligence (AI), Deep learning (DL), Medical imaging equipment, medical image data, Picture Archiving and Communication System (PACS), explainable artificial intelligence (XAI)

2. Comparative Study of User Reactions in OTT Service Platforms Using Text Mining

Soonchan Kwon, Jieun Kim, Beakcheol Jang, Vol. 25, No. 3, pp. 43-54, Jun. 2024

10.7472/jksii.2024.25.3.43
Keywords: OTT Services, Machine Learning, Text Mining, topic modeling, BERTopic, Deep Learning

3. Data Efficient Image Classification for Retinal Disease Diagnosis

Honggu Kang, Huigyu Yang, Moonseong Kim, Hyunseung Choo, Vol. 25, No. 3, pp. 19-25, Jun. 2024

10.7472/jksii.2024.25.3.19
Keywords: Ocular disease diagnosis and classification, CFI, CNN, Deep Learning, Artificial intelligence

4. 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

5. Improving the Accuracy of Additive Manufacturing Processes with a Deep Learning Prediction Model

Oakyoung Han, Vol. 24, No. 3, pp. 99-106, Jun. 2023

10.7472/jksii.2023.24.3.99
Keywords: 3D Printing, Additive manufacturing, Deep Learning, voxelization, adaptive histogram equalization

6. 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

7. Cyberattack Goal Classification Based on MITRE ATT&CK: CIA Labeling

Chan Ho Shin, Chang-hee Choi, Vol. 23, No. 6, pp. 15-26, Dec. 2022

10.7472/jksii.2022.23.6.15
Keywords: Labeling, Machine Learning, Deep Learning, MITRE ATT&CK, TTP, CIA triad

8. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites

Da-hyeon Kim, Man-bok Park, Jun-ho Ahn, Vol. 23, No. 4, pp. 57-64, Aug. 2022

10.7472/jksii.2022.23.4.57
Keywords: Risk of building, Physical Security, Deep Learning, Disaster sites, Object Detection

9. A Comparison Study of RNN, CNN, and GAN Models in Sequential Recommendation

Ji Hyung Yoon, Jaewon Chung, Beakcheol Jang, Vol. 23, No. 4, pp. 21-33, Aug. 2022

10.7472/jksii.2022.23.4.21
Keywords: Recommender System, RNN, CNN, GAN, Deep Learning, sequence modeling

10. A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)

Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 23, No. 4, pp. 11-19, Aug. 2022

10.7472/jksii.2022.23.4.11
Keywords: Deep Learning, explosive classification, abnormality detection system