Sunghwan Kim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Speech Recognition Systems

Joint Estimation

Integrating Multiple

Top Venues

Comput. Math. Methods Medicine

Publications

Haejun Jeong, Haejun Moon, Yongho Jeong, Heejae Kwon, Chanyeong Kim, Yonghak Lee, SeongMin Yang, Sunghwan Kim
Automated Technology for Strawberry Size Measurement and Weight Prediction Using AI. IEEE Access 12 (2024)
Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation. IEEE Access 11 (2023)
Kyoungmin Ko, Sunghwan Kim, Hyun Kwon
Multi-targeted audio adversarial example for use against speech recognition systems. Comput. Secur. 128 (2023)
SungMin Suh, Yongeun Park, Kyoungmin Ko, SeongMin Yang, Jaehyeong Ahn, Jae-Ki Shin, Sunghwan Kim
Weighted Mask R-CNN for Improving Adjacent Boundary Segmentation. J. Sensors 2021 (2021)
JiSeong Han, Kichun Jo, Wontaek Lim, YongHak Lee, Kyoungmin Ko, Eunseon Sim, Junsang Cho, Sunghwan Kim
Reinforcement Learning Guided by Double Replay Memory. J. Sensors 2021 (2021)
Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo
Penalized log-density estimation using Legendre polynomials. Commun. Stat. Simul. Comput. 49 (11) (2020)
SeHee Jung, SungMin Yang, Eunseok Lee, YongHak Lee, Jisun Ko, Sungjae Lee, Junsang Cho, Jaehwa Lee, Sunghwan Kim
Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior. J. Sensors 2020 (2020)
JiSeong Han, Gwangsu Kim, ChanSeo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim
Predictive Models of Fire via Deep learning Exploiting Colorific Variation. ICAIIC (2019)
Sunghwan Kim, SeHee Jung, SeongMin Yang, JiSeong Han, ByungYong Lee, Jaehwa Lee, Sung Won Han
Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data. J. Sensors 2019 (2019)
Jayeon Lim, SoYoun Bang, Jiyeon Kim, Cheolyong Park, Junsang Cho, Sunghwan Kim
Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers. Comput. Math. Methods Medicine 2019 (2019)
Jung-Jun Lee, Sunghwan Kim, Jae-Hwan Jhong, Ja-Yong Koo
Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data. Comput. Math. Methods Medicine 2018 (2018)
Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
Meta-analytic support vector machine for integrating multiple omics data. BioData Min. 10 (1) (2017)
Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
Erratum to: Meta-analytic support vector machine for integrating multiple omics data. BioData Min. 10 (1) (2017)
Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo, ByungYong Lee, Sungwon Han
Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information. Comput. Math. Methods Medicine 2017 (2017)