Digital Library
Search: "[ keyword: model ]" (140)
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Bo-chun Jung, Suk-ki Hong, Vol. 22, No. 5, pp. 69-77, Oct. 2021
10.7472/jksii.2021.22.5.69
Keywords: open banking, data sharing, Technology Acceptance Model(TAM), FinTech -
MyungSeok Yang, SungHee Lee, KeunHee Park, KwangNam Choi, TaeHyun Kim, Vol. 22, No. 5, pp. 47-55, Oct. 2021
10.7472/jksii.2021.22.5.47
Keywords: topic modeling, Artificial intelligence, National Research and Development Program, research trend, NTIS -
Dongwoo Lee, Yoosin Kim, Eunjung Shin, Vol. 22, No. 5, pp. 35-45, Oct. 2021
10.7472/jksii.2021.22.5.35
Keywords: Active Senior, Big data, Text Mining, LDA Topic Modeling, Trend Analysis -
Do Yeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 4, pp. 13-28, Aug. 2021
10.7472/jksii.2021.22.4.13
Keywords: Reinforcement Learning (RL), Advanced RL, Formal Model, Design Methods, and Advanced Navigator System -
YooRi Song, Hyeon Soo Kim, Vol. 22, No. 3, pp. 59-66, Jun. 2021
10.7472/jksii.2021.22.3.59
Keywords: Software Requirement, Traceability, Software Change Management, Visualization Model -
Hye-Yeon Yu, Moon-Hyun Kim, Byung-Chull Bae, Vol. 22, No. 1, pp. 51-63, Feb. 2021
10.7472/jksii.2021.22.1.51
Keywords: Actantial model, Character Role Recognition, Character Relationship Graph, Character Sentiment Flow Graph -
Jung-Sik Lee, Sung-Young Cho, Heang-Rok Oh, Myung-Mook Han, Vol. 22, No. 1, pp. 41-50, Feb. 2021
10.7472/jksii.2021.22.1.41
Keywords: Cyber Command Control System, Cyber Kill Chain Model, Defense Model, attack model, threat classification/analysis/prediction framework -
Hyeonho Kim, Seokmin Han, Vol. 21, No. 6, pp. 23-31, Dec. 2020
10.7472/jksii.2020.21.6.23
Keywords: Railroad surface, Generative Adversarial Network, Image Representation, Conditional generation model, Detection Model -
Kookjin Kim, Seungjin Lee, Sungjoong Kim, Jaegeun Kim, Dongil Shin, Dong-kyoo shin, Vol. 21, No. 3, pp. 133-144, Jun. 2020
10.7472/jksii.2020.21.3.133
Keywords: Abnomaly detection, deep-learning, Autoencoder, Long Short-Term Memory models -
Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
10.7472/jksii.2020.21.3.83
Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining