Digital Library

1. 111. FedGCD: Federated Learning Algorithm with GNN based Community Detection for Heterogeneous Data
   Wooseok Shin, Jitae Shin, Vol. 24, No. 6, pp. 1-11, Dec. 2023
   10.7472/jksii.2023.24.6.1
   Keywords: Federated learning, Non-IID, data heterogeneity, community detection, Graph Neural Networks
2. 112. 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. 113. A Research on Adversarial Example-based Passive Air Defense Method against Object Detectable AI Drone
   Simun Yuk, Hweerang Park, Taisuk Suh, Youngho Cho, Vol. 24, No. 6, pp. 119-125, Dec. 2023
   10.7472/jksii.2023.24.6.119
   Keywords: object detectable drone, AI drone, Adversarial machine learning, swarm drone, air defense, base defense
4. 114. 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
5. 115. Demand Forecasting Model for Bike Relocation of Sharing Stations
   Yoosin Kim, Vol. 24, No. 5, pp. 107-120, Oct. 2023
   10.7472/jksii.2023.24.5.107
   Keywords: Bike Sharing, relocation, demand forecasting, Machine Learning
6. 116. Analyzing Teachers' Educational Needs to Strengthen AI Convergence Education Capabilities
   JaMee Kim, Yong Kim, Vol. 24, No. 5, pp. 121-130, Oct. 2023
   10.7472/jksii.2023.24.5.121
   Keywords: AI(Artificial Intelligence), AIBE, AI Convergence education, Learning about AI, Educational needs
7. 117. Advances and Issues in Federated Learning Open Platforms: A Systematic Comparison and Analysis
   JinSoo Kim, SeMo Yang, KangYoon Lee, KwangKee Lee, Vol. 24, No. 4, pp. 1-13, Aug. 2023
   10.7472/jksii.2023.24.4.1
   Keywords: Federated learning, Distributed Learning, FL Framework, Open Source
8. 118. 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
9. 119. Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing
   Seyha Ros, Prohim Tam, Seokhoon Kim, Vol. 23, No. 5, pp. 17-23, Oct. 2022
   10.7472/jksii.2022.23.5.17
   Keywords: Deep Reinforcement Learning, Network Slicing, Software-Defined Networking, Network Functions Virtualization, Edge Computing
10. 120. A Study on the Effect of Characteristics of Online Streaming Course on Learning Satisfaction and Recommendation Intention
    LiuCun Zhu, HuiJun Yang, Xuejin Jiang, HaSung Hwang, Vol. 23, No. 5, pp. 59-68, Oct. 2022
    10.7472/jksii.2022.23.5.59
    Keywords: Online streaming class, Learning Satisfaction, Interest, interactivity, Social presence