Profile picture not found
View graph of relations

Publications

  1. 2025
  2. Batteries – Batteries General – Charge-Discharge: Alternating Currents and Ripples

    Goldammer, E., Droese, D., Gentejohann, M., Schlüter, M., Weber, D., Gühmann, C., Dieckerhoff, S. & Kowal, J., 2025, Encyclopedia of Electrochemical Power Sources. Vol. 2. p. 758-768

    Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearch

  3. 2024
  4. Published

    FranSys—A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction

    Weber, D. O. M., Gühmann, C. & Seel, T., 2024, In: IEEE ACCESS. 12, p. 145130 - 145147 18 p.

    Research output: Contribution to journalArticleResearchpeer review

  5. 2022
  6. Published

    The Impact of an Overlaid Ripple Current on Battery Aging: The Development of the SiCWell Dataset

    Goldammer, E., Gentejohann, M., Schlüter, M., Weber, D., Wondrak, W., Dieckerhoff, S., Gühmann, C. & Kowal, J., 31 Jan 2022, In: Batteries. 8, 2, 11.

    Research output: Contribution to journalArticleResearchpeer review

  7. RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking

    Bachhuber, S., Weber, D., Weygers, I. & Seel, T., 2022, 2022 25th International Conference on Information Fusion, FUSION 2022. Institute of Electrical and Electronics Engineers Inc., (2022 25th International Conference on Information Fusion, FUSION 2022).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  8. 2021
  9. RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters

    Weber, D., Gühmann, C. & Seel, T., Sept 2021, In: AI (Switzerland). 2, 3, p. 444-463 20 p.

    Research output: Contribution to journalArticleResearchpeer review

  10. Published

    Non-Autoregressive vs Autoregressive Neural Networks for System Identification

    Weber, D. & Gühmann, C., 2021, IFAC-PapersOnLine. 20 ed. Vol. 54. p. 692-698 7 p. (IFAC-PapersOnLine).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  11. 2020
  12. Neural networks versus conventional filters for inertial-sensor-based attitude estimation

    Weber, D., Guhmann, C. & Seel, T., Jul 2020, Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020. Institute of Electrical and Electronics Engineers Inc., 9190634. (Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review