| Explicit strong stability preserving multistep Runge–Kutta methods C Bresten, S Gottlieb, Z Grant, D Higgs, D Ketcheson, A Németh Mathematics of Computation 86 (304), 747-769, 2017 | 46 | 2017 |
| A study on the numerical convergence of the discrete logistic map CL Bresten, JH Jung Communications in Nonlinear Science and Numerical Simulation 14 (7), 3076-3088, 2009 | 36 | 2009 |
| Recovery of high order accuracy in radial basis function approximations of discontinuous problems JH Jung, S Gottlieb, SO Kim, CL Bresten, D Higgs Journal of Scientific Computing 45, 359-381, 2010 | 25 | 2010 |
| Detection of gravitational waves using topological data analysis and convolutional neural network: An improved approach C Bresten, JH Jung arXiv preprint arXiv:1910.08245, 2019 | 16 | 2019 |
| Model discrepancy of Earth polar motion using topological data analysis and convolutional neural network analysis D Lee, C Bresten, K Youm, KW Seo, JH Jung International Journal of Modern Physics C 31 (08), 2050117, 2020 | 3 | 2020 |
| Preprocessing of general stenotic vascular flow data for topological data analysis CL Bresten, J Kweon, X Chen, YH Kim, JH Jung bioRxiv, 2021.01. 07.425693, 2021 | 2 | 2021 |
| Recovery of high order accuracy in radial basis function approximation for discontinuous problems CL Bresten, S Gottlieb, D Higgs, JH Jung Preprint 5, 3, 2008 | 2 | 2008 |
| DETECTION OF GRAVITATIONAL WAVES USING TOPOLOGICAL DATA ANALYSIS AND CONVOLUTIONAL NEURAL NETWORK C BRESTEN, JAEHUN JUNG JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS 28 (4 …, 2024 | | 2024 |
| Topological data analysis for classification of vascular flows: overcoming irregular geometry C Bresten, JH Jung | | |
Jae-Hun JungSUNY at BuffaloZweryfikowany adres z buffalo.edu
