Logo Uni Bremen

Center for Industrial Mathematics

ZeTeM > About ZeTeM > Staff > Dr. Derick Nganyu Tanyu > Publikationen

Contact Sitemap Impressum [ English | Deutsch ]

Publications of Dr. Derick Nganyu Tanyu

Articles (3)

  1. D. Nganyu Tanyu, I. Michel, A. Rademacher, J. Kuhnert, P. Maaß.
    Parameter Identification by Deep Learning of a Material Model for Granular Media.
    GEM -- International Journal on Geomathematics, 15(13), 2024.

    DOI: 10.1007/s13137-024-00253-0
    online at: https://arxiv.org/abs/2307.04166

  2. D. Nganyu Tanyu, J. Ning, T. Freudenberg, N. Heilenkötter, A. Rademacher, U. Iben, P. Maaß.
    Deep learning methods for partial differential equations and related parameter identification problems.
    Inverse Problems, 39(10), 2023.

    DOI: 10.1088/1361-6420/ace9d4

  3. D. Nganyu Tanyu, D. Schulz, T. Tatietse, T. Lukong.
    Long Term Electricity Load Forecast Based on Machine Learning for Cameroon’s Power System.
    Energy and Environment Research, 12(1), 2022.

    DOI: 10.5539/eer.v12n1p45
    online at: https://ccsenet.org/journal/index.php/eer/article/view/0/47276

Preprints (1)

  1. D. Nganyu Tanyu, J. Ning, A. Hauptmann, B. Jin, P. Maaß.
    Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/2310.18636

PhD/Habilitation Thesis (1)

  1. D. Nganyu Tanyu.
    On the Interplay between Deep Learning Partial Differential Equations and Inverse Problems.
    Dissertationsschrift, Universität Bremen, 2023.