| Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems D Nganyu Tanyu, J Ning, T Freudenberg, N Heilenkötter, A Rademacher, ... arXiv e-prints, arXiv: 2212.03130, 2022 | 38* | 2022 |
| Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches D Nganyu Tanyu, J Ning, A Hauptmann, B Jin, P Maass arXiv preprint arXiv:2310.18636, 2023 | 4 | 2023 |
| Parameter Identification by Deep Learning of a Material Model for Granular Media D Nganyu Tanyu, I Michel, A Rademacher, J Kuhnert, P Maass arXiv e-prints, arXiv: 2307.04166, 2023 | 3* | 2023 |
| On the Interplay between Deep Learning, Partial Differential Equations and Inverse Problems DN Tanyu Universität Bremen, 2023 | | 2023 |
| Long Term Electricity Load Forecast Based on Machine Learning for Cameroon’s Power System TK Lukong, D Nganyu Tanyu, TT Tatietse, D Schulz Energy and Environment Research 12 (1), 1-45, 2022 | | 2022 |
| Deep Learning Methods for PDEs and Related Parameter Identification Problems D Nganyu Tanyu | | |
Peter MaassProfessor Mathematics, University of Bremen在 math.uni-bremen.de 的电子邮件经过验证
