Knowledge-based health service considering user convenience using hybrid Wi-Fi P2P. - Kyungyong Chung; Joo-Chang Kim; Roy C. Park (Inf. Technol. Manag., 2016)

Mining Based Urban Climate Disaster Index Service According to Potential Risk. - Joo-Chang Kim; Hoill Jung; Kyungyong Chung (Wirel. Pers. Commun., 2016)

Slope Based Intelligent 3D Disaster Simulation Using Physics Engine. - Joo-Chang Kim; Hoill Jung; Sungho Kim; Kyung-Yong Chung (Wirel. Pers. Commun., 2016)

Emerging risk forecast system using associative index mining analysis. - Joo-Chang Kim; Kyungyong Chung (Clust. Comput., 2017)

Context aware based user customized light therapy service using security framework. - Hyun Yoo; Joo-Chang Kim; Keon-Woo Kim; Roy C. Park (J. Comput. Virol. Hacking Tech., 2017)

Depression Index Service Using Knowledge Based Crowdsourcing in Smart Health. - Joo-Chang Kim; Kyungyong Chung (Wirel. Pers. Commun., 2017)

Mining health-risk factors using PHR similarity in a hybrid P2P network. - Joo-Chang Kim; Kyungyong Chung (Peer-to-Peer Netw. Appl., 2018)

Sequential-index pattern mining for lifecare telecommunication platform. - Joo-Chang Kim; Kyungyong Chung (Clust. Comput., 2019)

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks. - Joo-Chang Kim; Kyungyong Chung (KSII Trans. Internet Inf. Syst., 2019)

Mining Based Time-Series Sleeping Pattern Analysis for Life Big-Data. - Joo-Chang Kim; Kyungyong Chung (Wirel. Pers. Commun., 2019)

Associative Feature Information Extraction Using Text Mining from Health Big Data. - Joo-Chang Kim; Kyungyong Chung (Wirel. Pers. Commun., 2019)

Multi-Modal Stacked Denoising Autoencoder for Handling Missing Data in Healthcare Big Data. - Joo-Chang Kim; Kyungyong Chung (IEEE Access, 2020)

Hybrid Multi-Modal Deep Learning using Collaborative Concat Layer in Health Bigdata. - Joo-Chang Kim; Kyungyong Chung (IEEE Access, 2020)

Knowledge-based hybrid decision model using neural network for nutrition management. - Joo-Chang Kim; Kyungyong Chung (Inf. Technol. Manag., 2020)

Neural-network based adaptive context prediction model for ambient intelligence. - Joo-Chang Kim; Kyungyong Chung (J. Ambient Intell. Humaniz. Comput., 2020)

Discovery of knowledge of associative relations using opinion mining based on a health platform. - Joo-Chang Kim; Kyungyong Chung (Pers. Ubiquitous Comput., 2020)

Knowledge expansion of metadata using script mining analysis in multimedia recommendation. - Joo-Chang Kim; Kyung-Yong Chung (Multim. Tools Appl., 2021)

A Deep Learning-Based Real-Time Video Object Contextualizing and Archiving System. - Dinh-Lam Pham; Byeongnam Yoon; Viet-Vu Vu; Joo-Chang Kim; Sang-Eun Ahn; Jeong-Hyun Chang; Hyun Yoo; Kyonghee Sun; Kyoung-Sook Kim 002; Kwanghoon Pio Kim (ICACT, 2023)

Search and Recommendation Systems with Metadata Extensions. - Woo-Hyeon Kim; Joo-Chang Kim (ICACT, 2024)

Extraction of Meta-Data for Recommendation Using Keyword Mapping. - Geon-Woo Kim; Woo-Hyeon Kim; Kyungyong Chung; Joo-Chang Kim (IEEE Access, 2024)

LLM-based Methodology for Expanding 3D Metadata in Point Cloud. - Geon-Woo Kim; Joo-Chang Kim (ICACT, 2025)