R.-S. Götte and J. Timmermann, “Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering,”10.1109/AIRC56195.2022.9836982__in 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), Cairo, Egypt, 2022, pp. 67–76, doi:10.1109/AIRC56195.2022.9836982 .
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W. Langer, J. Bruns, and J. Erhorn, “Development and validation of a video-based test instrument to measure noticing with regard to processes ofrecognition in inclusive physical education,”10.1007/s12662-022-00807-0__German Journal of Exercise and Sport Research, vol. 52, no. 3, pp. 386–397, 2022, doi:10.1007/s12662-022-00807-0 .
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M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design,” in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Online, 2022, pp. 383–394.
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D. Battefeld and S. Kopp, “Formalizing cognitive biases in medical diagnostic reasoning,” presented at the Presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier, 2022.
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T. Bloh and C. Caruso, “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung,”10.3278/HSL2221W__die hochschullehre, vol. 8, no. 21, pp. 299–312, 2022, doi:10.3278/HSL2221W .
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D. J. Liedtke, Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model. 2021.
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S. Gottschalk, E. Yigitbas, A. Nowosad, and G. Engels, “Situation-specific Business Model Development Methods for Mobile App Developers,” in Enterprise, Business-Process and Information Systems Modeling, 2021.
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S. Gottschalk, E. Yigitbas, A. Nowosad, and G. Engels, “Situation- and  Domain-specific Composition and Enactment of Business Model Development Methods,” in Product-focused Software Process Improvement, Springer, 2021.
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S. Tagliabue et al., “Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance,”10.3389/fpsyg.2021.672383__Frontiers in Psychology, vol. 12, Art. no. 672383, 2021, doi:10.3389/fpsyg.2021.672383 .
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A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions,”10.3390/machines9100210__Machines, vol. 9, no. 10, Art. no. 210, 2021, doi:10.3390/machines9100210 .
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M. Goller, C. Caruso, and C. Harteis, “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers,”10.13152/IJRVET.8.2.4.__International Journal for Research in Vocational Education and Training, vol. 8, no. 2, pp. 208–223, 2021, doi:10.13152/IJRVET.8.2.4. 
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I. Gräßler and D. Wiechel, “Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements,”10.35199/dfx2021.12__in DS 111: Proceedings of the 32nd Symposium Design for X, Tutzing, 2021, doi:10.35199/dfx2021.12 .
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I. Gräßler, D. Wiechel, D. Roesmann, and H. Thiele, “V-model based development of cyber-physical systems and cyber-physical production systems,”10.1016/j.procir.2021.05.119__in Procedia CIRP, 2021, pp. 253–258, doi:10.1016/j.procir.2021.05.119 .
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A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties,”https://doi.org/10.36001/phme.2021.v6i1.2843 __in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, doi:https://doi.org/10.36001/phme.2021.v6i1.2843  .
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O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based Diagnostics of a Production Line,”10.36001/phme.2021.v6i1.3042__in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi:10.36001/phme.2021.v6i1.3042 .
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U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, and Y.-K. Lee, “An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines,”10.3233/SW-200420__Semantic Web, vol. 12, no. 6, pp. 843–868, doi:10.3233/SW-200420 .
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S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “ProConAR: A Tool Support for Model-based AR Product Configuration,” in Human-Centered Software Engineering. HCSE 2020, Eindhoven, 2020, vol. 12481.
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D. Schroder, S. Lange, C. Hangmann, and C. Hedayat, “Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs,” in Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., Croyton, UK:  The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32).
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S. Gottschalk, F. Rittmeier, and G. Engels, “Hypothesis-driven Adaptation of Business Models based on Product Line Engineering,” in Proceedings of the 22nd IEEE International Conference on Business Informatics, Antwerp, 2020.
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S. Gottschalk, E. Yigitbas, and G. Engels, “Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs,” in Business Modeling and Software Design, Potsdam, 2020, vol. 391, pp. 276–286.
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