Logo Uni Bremen

Zentrum für Industriemathematik

Über das ZeTeM
Mitarbeiter*innenAssoziierte am ZeTeMZeTeM BeiratExterne LinksGästeliste
Arbeitsgruppen
AG TechnomathematikAG Numerik PDEAG Optimierung und Optimale SteuerungAG Modellierung und Wissenschaftliches RechnenAG Diskrete OptimierungAG Inverse Probleme und Bildverarbeitung
Studium
Vorstellung des StudiengangsLehrveranstaltungenBachelor IndustriemathematikMaster Industrial Math & Data AnalysisModellierungsseminarAuslandsstudiumAbschlussarbeitenReading Course
Graduiertenkolleg π³
Forschung und Anwendungen
KompetenzenForschungsgebieteProjekteDissertationenPublikationenPatente
Angebote
Kooperation/ProjekteStellenangeboteStudentische Hilfskräfte
Services
Informationen für GästeLiefer- und PostadresseTechnischer Bereich

ZeTeM > Forschung und Anwendungen > Publikationen

Kontakt Sitemap Impressum [ English | Deutsch ]

Publikationen des Jahres 2021

Zeitschriftenartikel (21)

  1. N. K. Bellam Muralidhar, N. Rauter, A. Mikhaylenko, R. Lammering, D. Lorenz.
    Parametric model order reduction of guided ultrasonic wave propagation in fiber metal laminates with damage.
    Modelling, 2(4):591-608, 2021.

    DOI: 10.3390/modelling2040031
    online unter: https://www.preprints.org/manuscript/202109.0312/v1

  2. T. Boskamp, R. Casadonte, L. Hauberg-Lotte, S. Deininger, J. Kriegsmann, B. Maass.
    Cross-Normalization of MALDI Mass Spectrometry Imaging Data Improves Site-to-Site Reproducibility.
    Analytical Chemistry, 93(30):10584-10592, 2021.

    online unter: https://doi.org/10.1021/acs.analchem.1c01792

  3. C. Clason, D. Lorenz, H. Mahler, B. Wirth.
    Entropic regularization of continuous optimal transport problems.
    Journal of Mathematical Analysis and Applications, 494(1), 2021.

    DOI: 10.1016/j.jmaa.2020.124432
    online unter: http://arxiv.org/abs/1803.02848

  4. A. Denker, M. Schmidt, J. Leuschner, P. Maaß.
    Conditional Invertible Neural Networks for Medical Imaging .
    MDPI Journal of Imaging, Inverse Problems and Imaging 7(11), 243 S., 2021.

    DOI: 10.3390/jimaging7110243

  5. D. Dissard, G. J. Reichert, C. Menkes, M. Mangeas, S. Frickenhaus, J. Bijma.
    Mg∕Ca, Sr∕Ca and stable isotopes from the planktonic foraminifera T. sacculifer: testing a multi-proxy approach for inferring paleotemperature and paleosalinity.
    Biogeosciences, 18(2):423-439, 2021.

    DOI: 10.5194/bg-18-423-2021

  6. S. Dittmer, T. Kluth, M. Henriksen, P. Maaß.
    Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset.
    International Journal on Magnetic Particle Imaging, 7(1), 2021.

    online unter: https://journal.iwmpi.org/index.php/iwmpi/article/view/148

  7. M. Eden, A. Muntean, C. Nikolopoulos.
    A multiscale quasilinear system for colloids deposition in porousmedia: Weak solvability and numerical simulation of anear-clogging scenario.
    Nonlinear Analysis: Real World Applications, 63:1-29, Elsevier, 2021.

    DOI: 10.1016/j.nonrwa.2021.103408
    online unter: https://www.sciencedirect.com/science/article/pii/S1468121821001206?via%3Dihub

  8. P. Fernsel.
    Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization.
    MDPI Journal of Imaging, 7(10), 2021.

    DOI: 10.3390/jimaging7100194
    online unter: https://www.mdpi.com/2313-433X/7/10/194

  9. S. Grützner, A. Muntean.
    Identifying processes governing damage evolution in quasi-static elasticity. Part 1 – Analysis.
    Advances in Mathematical Sciences and Applications, 30(2):305-334, 2021.

    online unter: https://mcm-www.jwu.ac.jp/~aikit/AMSA/pdf/abstract/2021/016_2021_top.pdf

  10. A. Konschin.
    Electromagnetic wave scattering from locally perturbed periodic inhomogeneous layers.
    Erscheint in Mathematical Methods in the Applied Sciences

    DOI: 10.1002/mma.7680

  11. A. Konschin.
    Numerical Scheme for Electromagnetic Scattering on Perturbed Periodic Inhomogeneous Media and Reconstruction of the Perturbation.
    SIAM Journal on Scientific Computing, 43(3), 21 S., SIAM, 2021.

    DOI: 10.1137/20M1350716

  12. J. Le Clerc Arrastia, N. Heilenkötter, D. Otero Baguer, L. Hauberg-Lotte, T. Boskamp, S. Hetzer, N. Duschner , J. Schaller , P. Maaß.
    Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
    MDPI Journal of Imaging, 71 7(4), Meisenbach Verlag, Bamberg, 2021.

    DOI: 10.3390/jimaging7040071

  13. J. Leuschner, M. Schmidt, D. Otero Baguer, P. Maaß.
    LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.
    Scientific Data, 8(109), 2021.

    DOI: 10.1038/s41597-021-00893-z

  14. J. Leuschner, M. Schmidt, P. Ganguly, V. Andriiashen, S. Coban, A. Denker, D. Bauer, A. Hadjifaradji, K. Batenburg, B. Maass, M. von Eijnatten.
    Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
    MDPI Journal of Imaging, 7(3), 44 S., 2021.

    DOI: 10.3390/jimaging7030044
    online unter: https://www.mdpi.com/2313-433X/7/3/44

  15. D. Lorenz, C. Meyer, P. Manns.
    Quadratically regularized optimal transport.
    Applied Mathematics & Optimization, 83:1919-1949, 2021.

    DOI: 10.1007/s00245-019-09614-w
    online unter: https://arxiv.org/abs/1903.01112

  16. M. Möddel, F. Griese, T. Kluth, T. Knopp.
    Estimating the Spatial Orientation of Immobilized Magnetic Nanoparticles with Parallel-Aligned Easy Axes.
    Physical Review Applied, 16(4), L041003 S., 2021.
  17. F. Schneppe, D. Lorenz.
    Parameter estimation for orthogonal polynomial moments.
    PAMM, 20(1), Wiley, 2021.

    DOI: 10.1002/pamm.202000253

  18. S. Schulze, E. King.
    Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings.
    EURASIP Journal on Audio, Speech, and Music Processing, 6:2-25, 2021.

    DOI: 10.1186/s13636-020-00190-4
    online unter: https://rdcu.be/ceo1J

  19. G. Rigaud.
    3D Compton scattering imaging with multiple scattering: analysis by FIO and contour reconstruction.
    Inverse Problems, 37(6), 2021.

    online unter: https://iopscience.iop.org/article/10.1088/1361-6420/abf22b

  20. S. Schulze, J. Leuschner, E. King.
    Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients.
    MDPI Open Access Journals Signals, 2(4):637-661, 2021.

    DOI: 10.3390/signals2040039
    online unter: https://www.mdpi.com/2624-6120/2/4/39

  21. L. Kuger, G. Rigaud.
    Modeling and Reconstruction Strategy for Compton Scattering Tomography with Scintillation Crystals.
    Crystals, 11(6), 2021.

    DOI: https://doi.org/10.3390/cryst11060641

Tagungsbeiträge (15)

  1. E. Dierkes, K. Flaßkamp.
    Learning Hamiltonian Systems considering System Symmetries in Neural Networks.
    The 7th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control, 11.10-13.10.2021, Berlin, Deutschland.

    DOI: 10.1016/j.ifacol.2021.11.080

  2. E. Dierkes, K. Flaßkamp.
    Learning Mechanical Systems by Hamiltonian Neural Networks.
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, 21(1), WILEY-VCH, 2021.

    DOI: 10.1002/pamm.202100116

  3. E. Dierkes, F. Jung, C. Büskens.
    Data-based models of drive technology for automation in automotive production.
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

    DOI: 10.1002/pamm.202000286

  4. E. Dierkes, C. Meerpohl, K. Flaßkamp, C. Büskens.
    Estimation and Mapping of System-Surface Interaction by Combining Nonlinear Optimization and Machine Learning.
    Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021.

    DOI: 10.1016/j.ifacol.2021.10.342

  5. M. Hoefer, K. Schewior, D. Schmand.
    Stochastic Probing with Increasing Precision.
    2021 International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal, Kanada.

    DOI: 10.24963/ijcai.2021/560

  6. M. Höffmann, S. Roy, A. Berger, W. Bergmann, K. W. Chan, M. Shubbak, J. Langhorst, T. Schnauder, C. Büskens.
    Wind Affected Maneuverability of Tugboat-Controlled Ships.
    13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, 22.09.-24.09.2021.
    Proceedings of the 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, 54(16):70-75, 2021.

    DOI: 10.1016/j.ifacol.2021.10.075
    online unter: https://www.sciencedirect.com/science/article/pii/S2405896321014774

  7. D. Klosa, A. Mallek, C. Büskens.
    Short-Term Traffic Flow Forecast Using Regression Analysis and Graph Convolutional Neural Networks.
    2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 20.12-22.12.2021.
    Haikou, Hainan, China, IEEE Xplore, S. 1413-1418, 2021.

    DOI: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00212

  8. M. Lachmann, C. Büskens.
    A Hybrid Approach for Data-Based Models Using a Least-Squares Regression.
    OLA 2021 Int. Conf on Optimization and Learning.

    DOI: 10.1007/978-3-030-85672-4_5

  9. I. Mykhailiuk, K. Flaßkamp, C. Büskens, K. Schäfer.
    On the Computation of Convergence Regions for Sequential Nonlinear Programming Problems.
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

    DOI: 10.1002/pamm.202000281

  10. I. Mykhailiuk, K. Schäfer, C. Büskens.
    Stability Score for Local Solutions of Unconstrained Parametric Nonlinear Programs.
    GAMM 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics , 15.08-18.08.2022.
    Proceedings in Applied Mathematics & Mechanics, 21(1), Wiley, 2021.

    DOI: 10.1002/pamm.202100215

  11. M. Runge, K. Flaßkamp, C. Büskens.
    Real-time parameter estimation for sensitivity-based LQ regulator adaptation .
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

    DOI: 10.1002/pamm.202000292

  12. K. Schäfer, J. Fliege, K. Flaßkamp, C. Büskens.
    Reformulating Bilevel Problems by SQP Embedding.
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, WILEY-VCH, 2021.

    DOI: 10.1002/pamm.202000302

  13. M. Schmidt.
    Around the clock - capsule networks and image transformations.
    PAMM.
    Proceedings in Applied Mathematics and Mechanics, 20(1):e202000179, 2021.

    DOI: 10.1002/pamm.202000179
    online unter: https://onlinelibrary.wiley.com/doi/abs/10.1002/pamm.202000179

  14. M. Schmidt, A. Denker, J. Leuschner.
    The Deep Capsule Prior - advantages through complexity.
    GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
    Proceedings in Applied Mathematics & Mechanics, 21(1), WILEY-VCH, 2021.

    DOI: 10.1002/pamm.202100166

  15. M. Wiesner, K. Schäfer, W. Bergmann, A. Berger, P. Shulpyakov, C. Dittert, C. Büskens.
    Analyzing the Influence of Measurements in Dynamical Parameter Identification Using Parametric Sensitivities.
    Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021.

    DOI: 10.1016/j.ifacol.2021.10.320

Buchkapitel (1)

  1. D. Schmand.
    Recent Developments in Mathematical Traffic Models.
    Dynamics in Logistics, M. Freitag, H. Kotzab, N. Megow (Hrsg.), S. 71-78, Springer Verlag, 2021.

    DOI: 10.1007/978-3-030-88662-2_4

Qualifikationsarbeiten (2)

  1. S. Kraft.
    Echtzeitfähige Verbrennungssimulation eines Dual-Fuel Motors für eine Hardware-in-the-Loop Anwendung.
    Dissertationsschrift, Universität Bremen, 2021.

    DOI: 10.26092/elib/905

  2. G. Sfakianaki.
    Regularization of ill-posed inverse problems with tolerances and sparsity in parameter space.
    Dissertationsschrift, Universität Bremen, 2021.

    DOI: 10.26092/elib/1065
    online unter: https://media.suub.uni-bremen.de/bitstream/elib/5269/1/Georgia_Sfakianaki_PhD_Dissertation_2021_final_pdfA.pdf

Preprints (1)

  1. P. Fernsel, P. Maaß.
    Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2112.07641

Sonstiges (1)

  1. L. Bernard, P. Braesicke, R. Bertelmann, S. Frickenhaus, H. Gödde, C. Keßler, S. Lorenz, M. Mahecha, H. Marschall, D. Hezel, W. E. Nagel, M. Reichstein, M. Sester, H. Thiemann, C. Weiland, A. Wytzisk-Arens.
    NFDI Consortium Earth System Sciences – Proposal 2020 revised.
    2021.

    online unter: https://zenodo.org/communities/nfdi4earth/?page=1&size=20