| Deep learning for determining a near-optimal topological design without any iteration Y Yu, T Hur, J Jung, IG Jang Structural and Multidisciplinary Optimization, 2018 | 353 | 2018 |
| Topology optimization for a frequency response and its application to a violin bridge Y Yu, IG Jang, BM Kwak Structural and Multidisciplinary Optimization 48, 627-636, 2013 | 26 | 2013 |
| Nodal line optimization and its application to violin top plate design Y Yu, IG Jang, IK Kim, BM Kwak Journal of sound and vibration 329 (22), 4785-4796, 2010 | 23 | 2010 |
| Unit module-based convergence acceleration for topology optimization using the spatiotemporal deep neural network Y Joo, Y Yu, IG Jang IEEE Access 9, 149766 - 149779, 2021 | 14 | 2021 |
| Development of deep autoencoder-based anomaly detection system for HANARO S Ryu, B Jeon, H Seo, M Lee, JW Shin, Y Yu Nuclear Engineering and Technology 55 (2), 475-483, 2023 | 13 | 2023 |
| Development of a CAD-based general purpose optimal design and its application to structural shape for fatigue life YG Yu, BM Kwak Proceeding of the KSME 2003 Autumn Annual Meeting, Korea (in Korean), 1340-1345, 2003 | 12* | 2003 |
| Quantile autoencoder with abnormality accumulation for anomaly detection of multivariate sensor data S Ryu, J Yim, J Seo, Y Yu, H Seo IEEE Access 10, 70428-70439, 2022 | 10 | 2022 |
| Comparison of machine learning-based radioisotope identifiers for plastic scintillation detector B Jeon, J Kim, Y Yu, M Moon Journal of Radiation Protection and Research 46 (4), 204-212, 2021 | 10 | 2021 |
| Quantile-mixer: A novel deep learning approach for probabilistic short-term load forecasting S Ryu, Y Yu IEEE Transactions on Smart Grid, 2023 | 9 | 2023 |
| Design sensitivity analysis of acoustical damping and its application to design of musical bells Y Yu, BM Kwak Structural and Multidisciplinary Optimization 44, 421-430, 2011 | 9 | 2011 |
| Impact parameter prediction of a simulated metallic loose part using convolutional neural network S Moon, S Han, T Kang, S Han, K Kim, Y Yu, J Eom Nuclear Engineering and Technology, 2020 | 7 | 2020 |
| Pipeline wall thinning rate prediction model based on machine learning S Moon, K Kim, GG Lee, Y Yu, DJ Kim Nuclear Engineering and Technology 53 (12), 4060-4066, 2021 | 6 | 2021 |
| Dual-fluid topology optimization of printed-circuit heat exchanger with low-pumping-power design G Lee, Y Joo, Y Yu, HG Kim Case Studies in Thermal Engineering 49, 103318, 2023 | 5 | 2023 |
| An advanced cargo handling system operating at sea EH Kim, YS Jung, Y Yu, S Kwon, H Ju, S Kim, BM Kwak, IG Jang, KS Kim International Journal of Control, Automation and Systems 12, 852-860, 2014 | 5 | 2014 |
| Topology optimization for a knuckle using design space adjustment and refinement IG Jang, YG Yu, BM Kwak Transactions of the Korean Society of Mechanical Engineers A 30 (5), 595-601, 2006 | 5 | 2006 |
| Application of object detection algorithm for psychological analysis of children's drawing J Yim, SO Lee, KP Kim, Y Yu Journal of the Korea Industrial Information Systems Research 26 (5), 1-9, 2021 | 3 | 2021 |
| Development of vibro-acoustic virtual sensing system for pipeline structure using digital twin S Oh, KH Lee, K Ahn, Y Yu, K Kim, JG Kim Transactions of the Korean Society of Mechanical Engineers, A 45 (9), 805-815, 2021 | 3 | 2021 |
| Quantile autoencoder for anomaly detection H Seo, S Ryu, J Yim, J Seo, Y Yu AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021 | 3 | 2021 |
| Symmetry-informed surrogates with data-free constraint for real-time acoustic wave propagation HS Choi, Y Yu, H Seo Applied Acoustics 214, 109686, 2023 | 2 | 2023 |
| Evaluation of deep autoencoder based anomaly detection with cold neutron source facility in HANARO S Ryu, B Jeon, M Lee, Y Yu Transact. Korean Nuclear Soc. Virtual Autumn Meeting 300 (69), 89, 2021 | 2 | 2021 |
In Gwun JangKAIST在 kaist.edu 的电子邮件经过验证
