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Goldammer, E., Droese, D., Gentejohann, M., Schlüter, M., Weber, D., Gühmann, C., Dieckerhoff, S., & Kowal, J. (2025). Batteries – Batteries General – Charge-Discharge: Alternating Currents and Ripples. In Encyclopedia of Electrochemical Power Sources (S. 758-768) https://doi.org/10.1016/b978-0-323-96022-9.00265-6
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Weber, D. O. M., Gühmann, C., & Seel, T. (2024). FranSys—A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction. IEEE ACCESS, 12, 145130 - 145147. https://doi.org/10.1109/ACCESS.2024.3473014
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Bachhuber, S., Weber, D., Weygers, I., & Seel, T. (2022). RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking. In 2022 25th International Conference on Information Fusion, FUSION 2022 (2022 25th International Conference on Information Fusion, FUSION 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/FUSION49751.2022.9841375
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Goldammer, E., Gentejohann, M., Schlüter, M., Weber, D., Wondrak, W., Dieckerhoff, S., Gühmann, C., & Kowal, J. (2022). The Impact of an Overlaid Ripple Current on Battery Aging: The Development of the SiCWell Dataset. Batteries, 8(2), Artikel 11. https://doi.org/10.3390/batteries8020011
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Weber, D., & Gühmann, C. (2021). Non-Autoregressive vs Autoregressive Neural Networks for System Identification. In IFAC-PapersOnLine (20 Aufl., Band 54, S. 692-698). (IFAC-PapersOnLine). https://doi.org/10.1016/j.ifacol.2021.11.252
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Weber, D., Gühmann, C., & Seel, T. (2021). RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters. AI (Switzerland), 2(3), 444-463. https://doi.org/10.3390/ai2030028
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Weber, D., Guhmann, C., & Seel, T. (2020). Neural networks versus conventional filters for inertial-sensor-based attitude estimation. In Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020 Artikel 9190634 (Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/FUSION45008.2020.9190634
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