QoS Guaranteed Service Model in Mobile IPv6. - Misun Kim; Sangjin Park; Youngsong Mun (Security and Management, 2003)

An Efficient Multicast Delivery Mechanism Based on Locality in Mobile IPv6 Networks. - Sulyun Sung; Yuhwa Seo; Sangjin Park; Yongtae Shin (International Conference on Internet Computing, 2005)

Fast handover method by using L2 trigger supporting multi-interface in PMIPv6. - Jinsook Bong; Sangjin Park; Yongtae Shin (ICUFN, 2015)

Toward standardized exchange of plant 3D CAD models using ISO 15926. - Byungchul Kim; Young-Jun Jeon; Sangjin Park; Hans Teijgeler; David Leal; Duhwan Mun (Comput. Aided Des., 2017)

Discomfort with Low-back Pain Relief Exercise Training for Older Adult Women. - Muhammad Tufail; Sangjin Park; Haebin Lee; Yang Gyu Moon; KwanMyung Kim (AHFE (17), 2019)

ISO 15926-based integration of process plant life-cycle information including maintenance activity. - Byungchul Kim; Bongcheol Kim; Sangjin Park; Hans Teijgeler; Duhwan Mun (Concurr. Eng. Res. Appl., 2020)

Analysis of Land Use and Land Cover Change Using Time-Series Data and Random Forest in North Korea. - Yong Piao; Seunggyu Jeong; Sangjin Park; Dongkun Lee (Remote. Sens., 2021)

Interpretable deep learning LSTM model for intelligent economic decision-making. - Sangjin Park; Jae-Suk Yang (Knowl. Based Syst., 2022)

Measurement method of determining natural and unnatural gaits using autocorrelation coefficients. - Sangjin Park; Sangil Choi (Multim. Tools Appl., 2022)

Fine Gaze Redirection Learning with Gaze Hardness-aware Transformation. - Sangjin Park; Dae Ha Kim; Byung Cheol Song (WACV, 2023)

Monitoring Land Use/Land Cover and Landscape Pattern Changes at a Local Scale: A Case Study of Pyongyang, North Korea. - Yong Piao; Yi Xiao; Fengdi Ma; Sangjin Park; Dongkun Lee; Yongwon Mo; Seunggyu Jeong; Injae Hwang; Yujin Kim (Remote. Sens., 2023)

Intelligent cryptocurrency trading system using integrated AdaBoost-LSTM with market turbulence knowledge. - Sangjin Park; Jae-Suk Yang (Appl. Soft Comput., 2023)

Randomized Purifier Based on Low Adversarial Transferability for Adversarial Defense. - Sangjin Park; Yoojin Jung; Byung Cheol Song (IEEE Access, 2024)

Escaping Local Minima: Hybrid Artificial Potential Field with Wall-Follower for Decentralized Multi-Robot Navigation. - Joonkyung Kim; Sangjin Park; Wonjong Lee; Woojun Kim; Nakju Lett Doh; Changjoo Nam (CoRR, 2024)

Machine learning models based on bubble analysis for Bitcoin market crash prediction. - Sangjin Park; Jae-Suk Yang (Eng. Appl. Artif. Intell., 2024)

Machine learning modeling to forecast uncertainty between capital sudden stop and boom. - Sangjin Park; Jae-Suk Yang (Expert Syst. Appl., 2024)

Correction: Cryptocurrency recovery framework using pre-signed transaction. - Hyeonhak Kim; Sangjin Park (Int. J. Inf. Sec., 2025)