JICS

1. DiabetesNet: Lightweight and Efficient AI-based Solution for Real-World Diabetic Foot Classification

Jeong-Eun Moon, Yong-Jin Cho, Se-Yeol Rhyou, Sang-Hoon Hong, Vol. 26, No. 2, pp. 167-178, Apr. 2025

10.7472/jksii.2025.26.2.167
Keywords: Diabetic Foot Classification, AI-Powered Healthcare, Object Detection, Convolutional Neural Network (CNN), explainable artificial intelligence (XAI)

2. A Study of Recent Research Trends on XAI in Defense Domain and Adversarial Attacks

Sang-ho Lee, Youngho Cho, Vol. 25, No. 6, pp. 147-154, Dec. 2024

10.7472/jksii.2024.25.6.147
Keywords: XAI, Adversarial attack, Military Artificial Intelligence

3. 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)

4. Multi-dimensional Contextual Conditions-driven Mutually Exclusive Learning for Explainable AI in Decision-Making

Hyun Jung Lee, Vol. 25, No. 4, pp. 7-21, Aug. 2024

10.7472/jksii.2024.25.4.7
Keywords: Mutually Exclusive Learning, Multi-dimensional Contextual Conditions, Explainable AI (XAI), Mutually Exclusive Decision-Making

5. Damage Detection and Damage Quantification of Temporary works Equipment based on Explainable Artificial Intelligence (XAI)

Cheolhee Lee, Taehoe Koo, Namwook Park, Nakhoon Lim, Vol. 25, No. 2, pp. 11-19, Apr. 2024

10.7472/jksii.2024.25.2.11
Keywords: Temporary workequipment, explainable artificial intelligence (XAI), image processing technology, Labeling Data

6. 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