Journal Papers
Journal Papers for 5 most recent years are listed below. ( * : corresponding author )
• Ahn, H., Lee, S., Ko, H., Kim, M., Han, S. W.*, and Seok, J.* (2023). “Searching similar weather maps using convolutional autoencoder and satellite images.” ICT Express, 9(1), 69-75.
• Kim, J.-d., Kim, T.-H., and Han, S.W.* (2023). “Demand Forecasting of Spare Parts Using Artificial Intelligence: A Case Study of K-X Tanks” Mathematics, 11(3), 501.
• Lee, Y., and Han, S.W.* (2023). “CAGCN: Causal attention graph convolutional network against adversarial attacks” Neurocomputing, Vol. 538, 126187.
• Yang, S.W, Park, H.J., Kim, J.S., Choi W., Park, J., and Han, S.W.* (2023). “Study on the real-time object detection approach for end-of-life battery-powered electronics in the waste of electrical and electronic equipment recycling process.” Waste Management 166: 78-85.
• Kim, J.S., Park, H.J., Shin, W., Park, D., and Han, S.W.* (2023). “WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory.” IEEE Transactions on Aerospace and Electronic Systems.
• Kang, M., An, T.J., Han, D., Seo, W., Cho, K., Kim, S., Myong, J.-P., and Han, S.W.* (2022). “Development of a multipotent diagnostic tool for chest X-rays by multi-object detection method” Scientific Reports, Vol. 12, 19130.
• Choi, S., Choi, T., Lee, H.-Y., Han, S.W., and Bandyopadhyay, D.* (2022). “Doubly-robust methods for differences in restricted mean lifetimes using pseudo-observations” Pharmaceutical Statistics, Vol. 21, Pages 1185-1198.
• Jung, H., Han, G., Jung, S.J., and Han, S.W.* (2022). Comparative study of deep learning algorithms for atomic force microscopy image denoising. Micron. Vol. 161, 103332.
• Lee, M.S., and Han, S.W.* (2022). DuETNet: Dual Encoder based Transfer Network for thoracic disease classification. Pattern Recognition Letters, Vol. 161, Pages 143-153.
• Park, H.J., Kim, T., Kim, Y.S., Min, J., Sung, K.W., and Han, S.W.* (2022). CRFormer: Complementary Reliability Perspective Transformer for Automotive Components Reliability Prediction Based on Claim Data. IEEE Access, Vol. 10, 1109.
• Park, H., Jung, H., Lee, M.S., Kim, D., Lee, J., and Han, S.W.* (2022). INTERIOR WIND NOISE PREDICTION AND VISUAL EXPLANATION SYSTEM FOR EXTERIOR VEHICLE DESIGN USING COMBINED CONVOLUTION NEURAL NETWORKS. International Journal of Automotive Technology, Vol. 23, Pages 1013-1021.
• Han, G., Min, J., and Han, S.W.* (2022). EM-LAST: Effective Multidimensional Latent Space Transport for an Unpaired Image-to-Image Translation With an Energy-Based Model, IEEE Access, Vol. 10, 1109.
• Cho, G.J., Kim, J., Kim, J.Y., Han, S.W., Lee, S.B., Oh, M.-J., Kim, S.J., and Shin, J.E.* (2022). Adverse Pregnancy Outcomes and Maternal Chronic Diseases in the Future: A Cross-Sectional Study Using KoGES-HEXA Data. Journal of Clinical Medicine, Vol. 11, 1457.
• Kim, J.-K., Jung, S., Park, J., and Han, S.W.* (2022). Arrhythmia detection model using modified DenseNet for comprehensible Grad-CAM visualization. Biomedical Signal Processing and Control, Vol. 73, 103408.
• Cho, G.J., Um, J.S., Kim, S.J., Han, S.W., Lee, S.B., Oh, M. and Shin, J.E.* (2022). Prior pregnancy complications and maternal cardiovascular disease in young Korean women within 10 years after pregnancy. BMC Pregnancy and Childbirth, Vol. 22 (229).
• Shin, W.**, Lee, M.S.**, and Han, S.W.* (2022). COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation. Applied Sciences, Vol. 12, 2114.
• Park, H.J., Lee, M.S., Park, D.I., and Han, S.W. * (2021). Time-Aware and Feature Similarity Self-Attention in Vessel Fuel Consumption Prediction. Applied Sciences, Vol. 11, 11514.
• Lee, J.-G., Kim, T., Sung, K.W., and Han, S.W.* (2021). Automobile parts reliability prediction based on claim data: The comparison of predictive effects with deep learning. Engineering Failure Analysis, Vol. 129, 105657.
• Lee, Y., Kim, D., Sin, W., Kim, C., Kim, H., and Han, S.W.* (2021). A Comparison of Machine Learning Models in Photovoltaic Power Generation Forecasting. Journal of the Korean Institute of Industrial Engineers, Vol. 45 (5), Pages 444-458. (domestic journal)
• Lee, M.Y., and Han, S.W.* (2021). Multi-Modal Abstractive Summarization based Transformer using Video Transcripts. Journal of the Korean Institute of Industrial Engineers, Vol. 47 (5), Pages 433-443. (domestic journal)
• Cho, G.J., Jung, U.S., Kim, H.Y., Lee, S.B., Kim, M., Ahn, K.-H., Han, S.W., Hong, S.-C., Kim, H.-J., Kim, Y., and Oh, M.-J. (2021). Women with multiple gestations have an increased risk of development of hypertension in the future. BMC Pregnancy and Childbirth, Vol. 21 (510).
• Yang, S.W., Oh, M.-J., Park, K.-V., Han, S.-W., Kim, H.-S., Sohn, I.-S., Kwon, H.-S., Cho, G.-J., and Hwang, H.-S. (2021). Risk of Early Childhood Obesity in Offspring of Women with Preeclampsia: A Population-Based Study. Journal of Clinical Medicine, Vol. 10, 3758.
• Lee, M.Y., Sung, K.W., and Han, S.W.* (2021). Transfer Learning with Seasonal Adjustment for Automotive Spare Part Long-term Demand Forecasting. Journal of the Korean Institute of Industrial Engineers, Vol. 47 (3), Pages 302-314. (domestic journal)
• Jo, Y., Lee, S., Lee, Y., K, H., Park, S., Bae, S., Kim, M., Han, S., and Kim, S.* (2021). Semantic Segmentation of Cabbage in the South Korea Highlands with Images by Unmanned Aerial Vehicles. Applied Sciences, Vol. 11 (10), 4493.
• Kim, T., Han, S.W., Kang, M., Lee, S.H., Kim, J.-H., Joo, H.J., Sohn, J.,W. (2021). Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports. JMIR Medical Informatics, Vol. 9 (2), 25530.
• Chae, J., Cho, G.J., Oh, M.-J., Park, K., Han, S.W., Choi, S.-J., Oh, S.-Y., and Roh, C.-R. (2021). In utero exposure to ritodrine during pregnancy and risk of autism in their offspring until 8 years of age. Scientific Reports, Vol. 11, 1146.
• Kim, H.W., Cho, G.J., Kim, S.Y., Lee, K.-M., Ahn, K.H., Han, S.W., Hong, S.-C., Ryu, H.M., Oh, M.-J., Kim, H.-J., and Kim, S.C.* (2021). Pre-Pregnancy Risk Factors for Severe Hyperemesis Gravidarum: Korean Population Based Cohort Study. Life, Vol. 11, 12.
• Yoon, D., Kim, E., Choi, I., Han, S.W., and Yang, S. (2020). Prediction of Voluntary Motion Using Decomposition-and-Ensemble Framework With Deep Neural Networks. IEEE Access, Vol. 8, Pages 201555-201565.
• Yu, J., Kim, S.B., Bai, J., and Han, S.W.* (2020). Comparative Study on Exponentially Weighted Moving Average Approaches for the Self-Starting Forecasting. Applied Sciences, Vol. 10 (20), 7351. DOI: 10.3390/appl0207351.
• Park, J., Park, K.V., Yoo, S., Choi, S.O., and Han, S.W. (2020). Development of the WEEE grouping system in South Korea using the hierarchical and non-hierarchical clustering algorithms. Clinical and Experimental Otorhinolaryngology, Vol. 160, 104884.
• Yoon, J., Vonortas, N.S., and Han, S.W. (2020). Do-It-Yourself laboratories and attitude toward use: The effects of self-efficacy and the perception of security and privacy. Technological Forecasting and Social Change, Vol. 159, 120192.
• Song, J.Y., Park, K.V., Han, S.H., Choi, M.J., Noh, J.Y., Cheong, H.J., Kim, W.J., Oh, M.-J., and Cho, G.J.* (2020). Paradoxical long-term impact of maternal influenza infection on neonates and infants. BMC Infectious Disease, Vol. 20 (502).
• Cho, G.J., Oh, M.S., Oh, M.-J., Park, K.V., Han, S.W., and Chae, Y.K.* (2020). Peripartum Blood Transfusions are Associated with Increased Risk of Cancer: A National Retrospective Cohort Study. Clinical Epidemiology, Vol. 12, Pages 659-666.
• Shin, J.E., Cho, G.J., Bak, S., Won, S.E., Han, S.W., Lee, S.B., Oh, M.-J., and Kim S.J.* (2020). Pregnancy and neonatal outcomes of women with disabilities: a nationwide population-based study in South Korea. Scientific Reports, Vol. 10 (9200).
• Yi, K.W., Cho, G.J., Park, K., Han, S.W., Shin, J.-H., Kim T., and Hur, J. (2020). Endometriosis Is Associated with Adverse Pregnancy Outcomes: a National Population-Based Study. Reproductive Sciences , Vol. 27 (5), Pages 1175-1180.
• Han, S.W., Ahn, J.Y., Lee, S., Noh, Y.S., Jung, H.C., Lee, M.H., Park, H.J., Chun, H.J., Choi, S.J., Kim, E.S., and Lee, J.-Y. (2020). Gene expression network analysis of lymph node involvement in colon cancer identifies AHSA2, CDK10, and CWC22 as possible prognostic markers. Scientific Reports, Vol. 10 (7170).
• Cho, G.J., Kim, S.-Y., Lee, H.C., Kim, H.Y., Lee, K.-M., Han, S.W., and Oh, M.-J. (2020). Association between dental caries and adverse pregnancy outcomes. Scientific Reports, Vol. 10 (5309).
• Ko, G.J., Ahn, S.Y., Kim, J.E, Cho, E.J., Lee, K.-M., Kim, H.Y., Kwon, Y.J., Oh, M.-J., Han, S.W., and Cho, G.J.* (2020). Clinical Predictors Implicated in the Incidence of Acute Pyelonephritis during the Antepartum Period: A Population-Based Cohort Study. Kidney & Blood Pressure Research, Vol. 45, Pages 297-306.
• Jeon, H.J., Lee, J.-G., Kim, K., Jang, J.Y., Han, S.W., Choi, J., Ryu, J.-H., Koo, T.Y., Jeong, J.C., Lee, J.W., Ishida Hideki, Park, J.B., Lee, S.H., Ahn, C., and Yang, J.* (2020). Peripheral blood transcriptome analysis and development of classification model for diagnosing antibody-mediated rejection vs accommodation in ABO-incompatible kidney transplant. American Journal Of Transplantation, Vol. 20, Pages 112-124.
• Choi, J.E. and Han, S.W.* (2019). Generating Syllable Feature Map and Sentiment Analysis based on Convolutional Neural Network. Journal of the Korean Institute of Industrial Engineers, Vol. 45 (4), Pages 341-348. (domestic journal)
• Lee, M., Lee, S., Lee, J., and Han, S.W.* (2019). Predicting Maximum Wind Speed of Typhoons based on Convolutional Recurrent Neural Network via COMS Satellite Data. Journal of the Korean Institute of Industrial Engineers, Vol. 45 (4), Pages 349-360. (domestic journal)
• Kim, S., Jung, S., Yang, S, Lee, B.Y., Lee, J, and Han, S.W.* (2019). Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data. Journal of Sensors, Vol. 2019, Article ID 9673047, 10 pages.
• Lee, K.M., Lee, M., Seok J., and Han, S.W. (2019). Regression-Based Network Estimation for High-Dimensional Genetic Data. Journal of computational Biology, Vol. 26 (4), Pages 336-349.
• Choi, S., Kim, C., Zhong, H., Ryu, E.-S., and Han, S.W. (2019). Adjusted-crude-incidence analysis of multiple treatments and unbalanced samples on competing risks. Statistics and Its Interface, Vol. 12, Pages 423-437.
• Ma, W., Chen, L.S., Özbek, U., Han, S.W., Lin, C., Paulovich, A.G., Zhong, H., and Wang, P. (2019). Integrative proteo-genomic analysis to construct CNA-protein regulatory map in breast and ovarian tumors. Molecular & Cellular Proteomics, mcp.RA118.001229; https://doi.org/10.1074/mcp.RA118.001229.
• Park, J., Ahn, C., Lee, K., Choi, W., Song, H.T., Choi, S.O., and Han, S.W. (2019). Analysis on public perception, user-satisfaction, and publicity for WEEE collecting system in South Korea: A case study for Door-to-Door Service. Science Direct, Vol. 144, Pages 90-99.
• Park, J., Jung, I., Choi, W., Choi, S.O., and Han, S.W. (2019). Greenhouse gas emission offsetting by refrigerant recovery from WEEE: A case study on a WEEE recycling plant in Korea. Resources, Conservation and Recycling, Vol. 142, Pages 167-176.
• Cho, H.-W., Ouh, Y.-T., Lee, K.-M., Han, S.W., Lee, J.K., Cho, G.J. , and Hong, J.H. (2019). Long-term effect of pregnancy-related factors on the development of endometrial neoplasia: A nationwide retrospective cohort study. PLOS ONE, Vol. 14 (4). E0214600.
• Yoon, J., Kim, Y., Vonortas, N., and Han, S.W.* (2019). A moderated mediation model of technology roadmapping and innovation: The roles of corporate foresight and organizational support. Journal of Engineering and Technology Management, Vol. 52, Pages 61-73.
• Park, J.H., Choi, J., Jun, D.W., Han, S.W., Yeo, Y.H., and Nguyen, M.H. (2019). Low Alanine Aminotransferase Cut-Off for Predicting Liver Outcomes; A Nationwide Population-Based Longitudinal Cohort Study. Journal of Clinical Medicine, Vol. 8 (9), 1445. DOI: doi:10.3390/jcm8091445.
• Ouh, Y.-T., Lee, K.-M., Ahn, K.H., Hong, S.-C., Oh, M.-J., Kim, H.-J., Han, S.W., and Cho, G.J. (2019). Predicting peripartum blood transfusion: focusing on pre-pregnancy characteristics. BMC Pregnancy and Childbirth, Vol. 19 (477), https://doi.org/10.1186/s12884-019-2646-3.
• Lee, M., Han, S.W., and Seok, J.. (2019). Prediction of survival risks with adjusted gene expression through risk-gene networks. Bioinformatics, btz399, https://doi.org/10.1093/bioinformatics/btz399.
• Cho, G.J., Hwang, S.Y., Lee, K.-M., Choi, K.M., Baik, S.H., Kim, T., Han, S.W., and Yoo, H.J. (2019). Association Between Waist Circumference and Dementia in Older Persons: A Nationwide Population-Based Study. Obesity, Vol. 27, Pages 1883-1891. DOI: 10.1002/oby.22609.
• Lee, S., Lee, S., Lee, J., and Han, S.W.* (2019). Predicting the Intensity and the Center Location of Typhoons based on Faster R-CNN using Satellite Images. Journal of the Korean Institute of Industrial Engineers, Vol. 45 (5), Pages 439-450. (domestic journal)
• Cho, G.J., Kim, S.-Y., Lee, H.C., Lee, K.-M., Han, S.W., Oh, M.-J., and Woodruff, T.K. (2019). Risk of Adverse Obstetric Outcomes and the Abnormal Growth of Offspring in Women with a History of Thyroid Cancer. THYROID, Vol. 29 (4). DOI: 10.1089/thy.2018.0283.
• Cho, G.J., Kim, H.Y., Park, J.H., Ahn, K.-H., Hong, S.-C., Kim, H.-J., Han, S.W.*, and Oh, M.-J. (2019). Pre-pregnancy factors is associated with development of hypertension in women with preeclampsia. Journal of Womens Health, https://doi.org/10.1089/jwh.2018.7165.
• Han, S.W., Park, S., Zhong, H., Ryu, E.-S., Wang, P., Jung, S., Lim, J., Yoon, J., and Kim, S. (2019). Estimation of joint directed acyclic graphs with lasso family for gene networks. Communications in Statistics – Simulation and Computation, https://doi.org/10.1080/03610918.2019.1618869.