Renner, B., Buyken, A., Gedrich, K., Lorkowski, S., Watzl, B., Linseisen, J., Daniel, H., Conrad, J., Ferrario, P. G., Holzapfel, C., Leitzmann, M., Richter, M., Simon, M.-C., Sina, C., &; Wirsam, J. (2023). Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems. Advances in Nutrition.https://doi.org/10.1016/j.advnut.2023.06.009 
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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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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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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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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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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.
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Haddadian, S., Scheytt, J. C., von Bögel, G., &; Grenter, T. (2023). A Sub-Threshold Microwave RFID Tag Chip, Compatible With RFID MIMO Reader Technology. https://doi.org/10.1109/JRFID.2023.3308332__IEEE Journal of Radio Frequency Identification.https://doi.org/10.1109/JRFID.2023.3308332 
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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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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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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.
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