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74 Publications
2012 | Conference Paper | LibreCat-ID: 9783
Bornmann, P., Hemsel, T., Sextro, W., Maeda, T., & Morita, T. (2012). Non-perturbing cavitation detection / monitoring in sonochemical reactors. In Ultrasonics Symposium (IUS), 2012 IEEE International (pp. 1141–1144). https://doi.org/10.1109/ULTSYM.2012.0284
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2012 | Journal Article | LibreCat-ID: 9786
Klöpper, B., Sondermann-Wölke, C., & Romaus, C. (2012). Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous Railway Vehicle. Journal of Robotics and Mechatronics, 24(1), 5–15.
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2012 | Conference Paper | LibreCat-ID: 11833 |

Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2012). Microphone Array Position Self-Calibration from Reverberant Speech Input. International Workshop on Acoustic Signal Enhancement (IWAENC 2012).
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2010 | Journal Article | LibreCat-ID: 4551
Mehta, M., Reuter, D., Melnikov, A., Wieck, A. D., Michaelis de Vasconcellos, S., Baumgarten, T., … Meier, C. (2010). Intentionally positioned self-assembled InAs quantum dots in an electroluminescent p–i–n junction diode. Physica E: Low-Dimensional Systems and Nanostructures, 42(10), 2749–2752. https://doi.org/10.1016/j.physe.2009.12.053
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| DOI
2010 | Conference Paper | LibreCat-ID: 9760
Sondermann-Wölke, C., Hemsel, T., Sextro, W., Gausemeier, J., & Pook, S. (2010). Guideline for the dependability-oriented design of self-optimizing systems. In Industrial Informatics (INDIN), 2010 8th IEEE International Conference on (pp. 739–744). https://doi.org/10.1109/INDIN.2010.5549490
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| DOI
2010 | Conference Paper | LibreCat-ID: 9763
Sondermann-Wölke, C., Geisler, J., & Sextro, W. (2010). Increasing the reliability of a self-optimizing railway guidance system. In Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual (pp. 1–6). https://doi.org/10.1109/RAMS.2010.5448080
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2010 | Conference Paper | LibreCat-ID: 37057
Defo, G. B., Müller, W., & Kuznik, C. (2010). Verification of a CAN Bus Model in SystemC with Functional Coverage. Proceedings of SIES 2010. International Symposium on Industrial Embedded System (SIES), Trento, Italy. https://doi.org/10.1109/SIES.2010.5551379
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| DOI
2009 | Conference Paper | LibreCat-ID: 9736
Klöpper, B., Sondermann-Wölke, C., Romaus, C., & Vöcking, H. (2009). Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems. In Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on (pp. 104–111). https://doi.org/10.1109/CICA.2009.4982790
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2009 | Conference Paper | LibreCat-ID: 9742
Sondermann-Wölke, C., & Sextro, W. (2009). Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules. In Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation World: (pp. 15–20). https://doi.org/10.1109/ComputationWorld.2009.47
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2008 | Conference Paper | LibreCat-ID: 9576
Uribe, D. O., Stroop, R., Hemsel, T., & Wallaschek, J. (2008). Development of a biomedical tissue differentiation system using piezoelectric actuators. In Frequency Control Symposium, 2008 IEEE International (pp. 91–94). https://doi.org/10.1109/FREQ.2008.4622963
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2007 | Journal Article | LibreCat-ID: 11927 |

Warsitz, E., & Haeb-Umbach, R. (2007). Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. IEEE Transactions on Audio, Speech, and Language Processing, 15(5), 1529–1539. https://doi.org/10.1109/TASL.2007.898454
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2004 | Conference Paper | LibreCat-ID: 39078
Gausemeier, J., Müller, W., Paelke, V., Bauch, J., Shen, Q., & Radkowski, R. (2004). Virtual Prototyping Of Self-Optimizing Mechatronic Systems. Proceedings of the Design 2004. 8th International Design Conference , Dubrovnik.
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2003 | Journal Article | LibreCat-ID: 6065 |

Scharlau, I., & Ansorge, U. (2003). Direct parameter specification of an attention shift: Evidence from perceptual latency priming. Vision Research, 43(12), 1351–1363.
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2001 | Journal Article | LibreCat-ID: 11778 |

Haeb-Umbach, R. (2001). Automatic generation of phonetic regression class trees for MLLR adaptation. IEEE Transactions on Speech and Audio Processing, 9(3), 299–302. https://doi.org/10.1109/89.906003
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