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1416 Publications
2023 | Conference Paper | LibreCat-ID: 46426
Greiff, C., Mateos-Núñez, D., Simoni, R., González-Huici, M., Kruse, S., Scheytt, J. C., Kolk, K., Höller, C., Kurz, H. G., Meinecke, M.-M., & Gisder, T. (2023). Calibration of Large Coherent MIMO Radar Arrays: Channel Imbalances and 3D Antenna Positions. 2023 24th International Radar Symposium (IRS). 2023 24th International Radar Symposium (IRS), Berlin, Germany. https://doi.org/10.23919/IRS57608.2023.10172475
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| DOI
2023 | Preprint | LibreCat-ID: 46649 | 
Hotegni, S. S., Peitz, S., & Berkemeier, M. B. (2023). Multi-Objective Optimization for Sparse Deep Neural Network Training. In arXiv:2308.12243.
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| arXiv
2023 | Book Chapter | LibreCat-ID: 46809
Rossel, M., & Meschut, G. (2023). Modeling and Parameterization for a 3D Simulation of Clinching with an Extensible Die. In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-41341-4_9
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| DOI
2023 | Journal Article | LibreCat-ID: 46818
Reeschke, R., Haase, F. K., Dautzenberg, L., Krutsch, W., & Reinsberger, C. (2023). Training matters: Heading incidence and characteristics in children’s and youth football (soccer) players. Scandinavian Journal of Medicine & Science in Sports, 33(9), 1821–1830. https://doi.org/10.1111/sms.14408
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| DOI
2023 | Conference Paper | LibreCat-ID: 46957
Ott, M., Meihöfener, N., & Mozgova, I. (2023). Methodical Approach to Reducing Design Time by using Neural Networks in Early Stages of Concept Development. In M. Ott (Ed.), Proceedings of the 34rd Annual International Solid Freeform Fabrication Symposium 2023.
LibreCat
2023 | Journal Article | LibreCat-ID: 47009
Haddadian, S., Scheytt, J. C., von Bögel, G., & Grenter, T. (2023). A Sub-Threshold Microwave RFID Tag Chip, Compatible With RFID MIMO Reader Technology. IEEE Journal of Radio Frequency Identification. https://doi.org/10.1109/JRFID.2023.3308332
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2023 | Journal Article | LibreCat-ID: 47992
Acevedo-Salas, U., Croes, B., Zhang, Y., Cregut, O., Dorkenoo, K. D., Kirbus, B., Singh, E., Beccard, H., Rüsing, M., Eng, L. M., Hertel, R., Eliseev, E. A., Morozovska, A. N., & Cherifi-Hertel, S. (2023). Impact of 3D Curvature on the Polarization Orientation in Non-Ising Domain Walls. Nano Letters, 23(3), 795–803. https://doi.org/10.1021/acs.nanolett.2c03579
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| DOI
2023 | Conference Paper | LibreCat-ID: 47522
Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. https://doi.org/10.1145/3594805.3607136
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| DOI
2023 | Conference Paper | LibreCat-ID: 46297
Prager, R. P., & Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation (pp. 411–425). Springer Nature Switzerland.
LibreCat
2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, L., Kerschke, P., Grimme, C., & Trautmann, H. (2023). Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In M. Emmerich, A. Deutz, H. Wang, A. V. Kononova, B. Naujoks, K. Li, K. Miettinen, & I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization (pp. 291–304). Springer Nature Switzerland.
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