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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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Koers, T., &; Magyar, B. (2023). Compensation of the Shrinkage Behavior Occurring in Cylindrical Components in the FDM Process. In G. Lamanna &; C. Opran (Eds.), Macromolecular Symposia (Vol. 411, Issue 1). Wiley.https://doi.org/10.1002/masy.202200185 

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Zhang, B., Plidschun, M., Schmidt, M. A., &; Kitzerow, H.-S. (2023). Anchoring and electro-optic switching of liquid crystals on nano-structured surfaces fabricated by two-photon based nano-printing. Optical Materials Express, 13(12), Article 3467.https://doi.org/10.1364/ome.503100 

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Heins, J., Bossek, J., Pohl, J., Seiler, M., Trautmann, H., &; Kerschke, P. (2023). A study on the effects of normalized TSP features for automated algorithm selection. Theoretical Computer Science, 940, 123–145.https://doi.org/10.1016/j.tcs.2022.10.019 

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Hochhaus, T., Bruns, B., Grünewald, M., &; Riese, J. (2023). Optimal scheduling of a large-scale power-to-ammonia process: Effects of parameter optimization on the indirect demand response potential. Computers &; Chemical Engineering, 170, Article 108132.https://doi.org/10.1016/j.compchemeng.2023.108132 

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Koers, T., &; Magyar, B. (2023). Determination and Compensation of the Shrinkage Behavior of Cylindrical Elements in the FDM Process. In J. Beaman (Ed.), Proceedings of the 34th Annual International Solid Freeform Fabrication Symposium 2023 (Vol. 34).

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Chalicheemalapalli Jayasankar, D. (2023). Advances In RTM Manufacturing Of Metal-FRP Hybrids By Self-Sealing And In-Mold Cleaning Techniques.

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Soleymani, M., Santamaria, I., Jorswieck, E., &; Clerckx, B. (2023). Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-assisted URLLC Systems. IEEE Transactions on Wireless Communications, 1–1.https://doi.org/10.1109/twc.2023.3324190 

Tao, Y., &; Winkler, M. (2023). Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities. Evolution Equations and Control Theory, 12(6), 1676–1687.https://doi.org/10.3934/eect.2023031 

Lehmann, I., Adali, T., Kruizinga, P., &; Hunyadi, B. (2023). Deriving 3D Functional Brain Regions from Multi-Slice Functional Ultrasound Data Using ICA and IVA. 2023 57th Asilomar Conference on Signals, Systems, and Computers.https://doi.org/10.1109/ieeeconf59524.2023.10477081 

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Dellnitz, A., Tavana, M., &; Banker, R. (2023). A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis. Annals of Operations Research, 322(2), 661–690.https://doi.org/10.1007/s10479-022-04937-4 

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Tavana, M., Khalili Nasr, A., Santos-Arteaga, F. J., Saberi, E., &; Mina, H. (2023). An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks. Annals of Operations Research.https://doi.org/10.1007/s10479-023-05219-3 

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Beule, F., Teutenberg, D., Meschut, G., Aubel, T., &; Matzenmiller, A. (2022). Methodenentwicklung zur Versagensanalyse aufgrund der Aushärtung vorgeschädigter Klebverbindungen in stahlintensiven Mischbaustrukturen. 22. Kolloquium: Gemeinsame Forschung in der Klebtechnik. 22. Kolloquium: Gemeinsame Forschung in der Klebtechnik.

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Kowatz, J., Teutenberg, D., &; Meschut, G. (2022). Weiterentwicklung der induktiven Schnellhärtung von Klebverbindungen für robuste Fertigungsprozesse unter Berücksichtigung von serienrelevanten Einflussfaktoren. In DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. (Ed.), 22. Kolloquium Gemeinsame Forschung in der Klebtechnik.

Chudalla, N., Meschut, G., Bartley, A., &; Wibbeke, T. M. (2022). Analyse des Versagensverhaltens geklebter Stahl-Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung. 22. Kolloquium: Gemeinsame Forschung in Der Klebtechnik. 22. Kolloquium: Gemeinsame Forschung in der Klebtechnik.

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Caillau, J.-B., Djema, W., Gouzé, J.-L., Maslovskaya, S., &; Pomet, J.-B. (2022). Turnpike Property in Optimal Microbial Metabolite Production. Journal of Optimization Theory and Applications.https://doi.org/10.1007/s10957-022-02023-0 

Torrent, C. J. J., Krooß, P., Huang, J., Voigt, M., Ebbert, C., Knust, S., Grundmeier, G., &; Niendorf, T. (2022). Oxide Modified Iron in Electron Beam Powder Bed Fusion—From Processability to Corrosion Properties. Alloys, 1(1), 31–53.https://doi.org/10.3390/alloys1010004 

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Wojciechowski, M. (2022). Dataset for random uniform distributions of 2D circles and 3D spheres. Data Brief, 43, 108318.

Büchel, D., Gokeler, A., Heuvelmans, P., &; Baumeister, J. (2022). Increased Cognitive Demands Affect Agility Performance in Female Athletes - Implications for Testing and Training of Agility in Team Ball Sports. Perceptual and Motor Skills, Article 003151252211086.https://doi.org/10.1177/00315125221108698 

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Zirngibl, C., Schleich, B., &; Wartzack, S. (2022). Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels. AI, 3(4), 990–1006.https://doi.org/10.3390/ai3040059 

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