International Journal Papers

  • Jeon, M., Kim, N., Jang, Y., & Lee, B. D. (2020). "An Efficient Network Resource Management in SDN for Cloud Services". Symmetry, 12(9), 1556.
Doi : https://doi.org/10.3390/sym12091556
  • Kim, C. M., Kim, K. H., Lee, Y. S., Chung, K., & Park, R. C. (2020). "Real-time streaming image based PP2LFA-CRNN model for facial sentiment analysis". IEEE Access, 8, 199586-199602.
Doi : https://doi.org/10.1109/ACCESS.2020.3034319
  • Yoo, H., & Chung, K. (2020). Deep learning-based evolutionary recommendation model for heterogeneous big data integration. KSII Transactions on Internet and Information Systems (TIIS), vol. 14, no. 9, pp. 3730-3744.
Doi : https://doi.org/10.3837/tiis.2020.09.009
  • Jung, H., & Chung, K. (2021). Social mining-based clustering process for big-data integration. Journal of Ambient Intelligence and Humanized Computing, 12(1), 589-600.
Doi : https://doi.org/10.1007/s12652-020-02042-7
  • Kim, K., Kim, H., Chun, J., Kang, M., Hong, M., & Min, B. (2021). Real-Time Anomaly Detection in Packaged Food X-Ray Images Using Supervised Learning. CMC-COMPUTERS MATERIALS & CONTINUA, 67(2), 2547-2568.
Doi : https://doi.org/10.32604/cmc.2021.014642
  • Ahn, H., & Kim, K. P. (2021). Formal Approach to Workflow Application Fragmentations Over Cloud Deployment Models. CMC-COMPUTERS MATERIALS & CONTINUA, 67(3), 3071-3088.
Doi : https://doi.org/10.32604/cmc.2021.015280
  • Pham, D. L., Ahn, H., Kim, K. S., & Kim, K. P. (2021). Process-Aware Enterprise Social Network Prediction and Experiment Using LSTM Neural Network Models. IEEE Access, 9, 57922-57940.
Doi : https://doi.org/10.1109/ACCESS.2021.3071789
  • Ahn, H., & Kim, K. P. (2021). Organizational Closeness Centralities of Workflow-Supported Performer-to-Activity Affiliation Networks. IEEE Access, 9, 48555-48582.
Doi : https://doi.org/10.1109/ACCESS.2021.3065925
  • Yoo, H., Han, S., & Chung, K. (2021). Diagnosis Support Model of Cardiomegaly Based on CNN Using ResNet and Explainable Feature Map. IEEE Access, 9, 55802-55813.
Doi : https://doi.org/10.1109/ACCESS.2021.3068597
  • Yoo, H., Park, R. C., & Chung, K. (2021). IoT-Based Health Big-Data Process Technologies: A Survey. KSII Transactions on Internet and Information Systems (TIIS), 15(3), 974-992.
Doi : https://doi.org/10.3837/tiis.2021.03.009
  • Ko, N., Hong, M., Hwang, J., Chang, J., & Hwang, E. (2021). Are Online and Offline Delinquency Mutually Exclusive? Blurred Boundaries between Cyber Space and the Real-World. KSII Transactions on Internet and Information Systems (TIIS), 15(8), 3048-3067.
Doi : https://doi.org/10.3837/tiis.2021.08.019
  • Yoo, H., Baek, J. W., & Chung, K. (2021)CNN-Based Voice Emotion Classification Model for Risk Detection. Intelligent Automation & Soft Computing, 29(2), 319-334.
Doi : https://doi.org/10.32604/iasc.2021.018115
  • Ahn, H., Sun, K., & Kim, K. P. (2022). Comparison of Missing Data Imputation Methods in Time Series Forecasting. CMC-COMPUTERS MATERIALS & CONTINUA, 70(1), 767-779.
Doi : https://doi.org/10.32604/cmc.2022.019369
  • Kim, K. S., Pham, D. L., & Kim, K. P. (2021). rho-Algorithm: A SICN-Oriented Process Mining Framework. IEEE Access, 9, 139852-139875.
Doi : https://doi.org/10.1109/ACCESS.2021.3119011
  • Kim, K. S., Pham, D. L., Park, Y. I., & Kim, K. P. (2022). Experimental verification and validation of the SICN-oriented process mining algorithm and system. Journal of King Saud University-Computer and Information Sciences.
Doi : https://doi.org/10.1016/j.jksuci.2021.12.013
  • Hyun Y, Kyungyong C, (2022). Classification of Multi-Frame Human Motion Using CNN-based Skeleton Extraction, Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 1-13.
Doi : https://dx.doi.org/10.32604/iasc.2022.024890
  • J. -S. Kang and K. Chung, (2022). STAug: Copy-Paste Based Image Augmentation Technique Using Salient Target, in IEEE Access, vol. 10, pp. 123605-123613.
Doi : https://doi.org/10.1109/ACCESS.2022.3224141
  • Baek, Ji-Won & Chung, Kyungyong. (2023). Explainable Anomaly Detection Using Vision Transformer Based SVDD. Computers, Materials & Continua. vol. 74, no. 6573-6586.
Doi : https://doi.org/10.32604/cmc.2023.035246
  • Jang, Y., Kim, N., & Lee, B. D. (2023). Traffic classification using distributions of latent space in software-defined networks: An experimental evaluation. Engineering Applications of Artificial Intelligence, vol. 119, 105736.
Doi : https://doi.org/10.1016/j.engappai.2022.105736
  • Myeonggi Hong;Junho Park;Sungju Hong;JeongHyeon Chang, (2023). Demand Survey Method for commercialization of Police Science Technology and Equipment, KSII Transactions on Internet and Information Systems, vol. 7, no. 2. (게재확정)