Data analytic approach for bankruptcy prediction H Son, C Hyun, D Phan, HJ Hwang Expert Systems with Applications 138, 112816, 2019 | 134 | 2019 |
Real-world implications of a rapidly responsive COVID-19 spread model with time-dependent parameters via deep learning: Model development and validation SY Jung, H Jo, H Son, HJ Hwang Journal of medical Internet research 22 (9), e19907, 2020 | 70* | 2020 |
Sobolev training for physics informed neural networks H Son, JW Jang, WJ Han, HJ Hwang arXiv preprint arXiv:2101.08932, 2021 | 49* | 2021 |
Explainability of machine learning models for bankruptcy prediction MS Park, H Son, C Hyun, HJ Hwang Ieee Access 9, 124887-124899, 2021 | 38 | 2021 |
Deep neural network approach to forward-inverse problems H Jo, H Son, HJ Hwang, E Kim Networks and Heterogeneous Media 15 (2), 247-259, 2020 | 33 | 2020 |
Enhanced physics-informed neural networks with augmented Lagrangian relaxation method (AL-PINNs) H Son, SW Cho, HJ Hwang Neurocomputing 548, 126424, 2023 | 23* | 2023 |
The deep minimizing movement scheme MS Park, C Kim, H Son, HJ Hwang Journal of Computational Physics 494, 112518, 2023 | 12 | 2023 |
Continuous probabilistic solution to the transient self-oscillation under stochastic forcing: a PINN approach H Son, M Lee Journal of Mechanical Science and Technology 37 (8), 3911-3918, 2023 | 7 | 2023 |
Lagrangian dual framework for conservative neural network solutions of kinetic equations HJ Hwang, H Son Kinetic and Related Models 15 (4), 551-568, 2022 | 5 | 2022 |
Traveling wave solutions of partial differential equations via neural networks SW Cho, HJ Hwang, H Son Journal of Scientific Computing 89 (1), 21, 2021 | 5 | 2021 |
A PINN approach for identifying governing parameters of noisy thermoacoustic systems H Son, M Lee Journal of Fluid Mechanics 984, A21, 2024 | 2 | 2024 |
Physics-Informed Neural Networks for Microprocessor Thermal Management Model H Son, H Cho, HJ Hwang IEEE Access 11, 122974-122979, 2023 | | 2023 |
물리 정보 기계학습의 발전 및 응용 손휘재, 이재용 전자공학회지, 50-58, 2023 | | 2023 |
Sobolev acceleration for neural networks H Son | | |