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116 Publications
2022 | Journal Article | LibreCat-ID: 34820
Langer, W., Bruns, J., & Erhorn, J. (2022). Development and validation of a video-based test instrument to measure noticing with regard to processes ofrecognition in inclusive physical education. German Journal of Exercise and Sport Research, 52(3), 386–397. https://doi.org/10.1007/s12662-022-00807-0
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| DOI
| WoS
2022 | Conference Paper | LibreCat-ID: 29803
Hesse, M., Hunstig, M., Timmermann, J., & Trächtler, A. (2022). Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 383–394.
LibreCat
2022 | Conference Paper | LibreCat-ID: 51343
Battefeld, D., & Kopp, S. (2022). Formalizing cognitive biases in medical diagnostic reasoning. Presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier. Presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier.
LibreCat
2022 | Journal Article | LibreCat-ID: 35111
Bloh, T., & Caruso, C. (2022). Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. die hochschullehre, 8(21), 299–312. https://doi.org/10.3278/HSL2221W
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| DOI
2021 | Mastersthesis | LibreCat-ID: 25126
Liedtke, D. J. (2021). Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model.
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2021 | Conference Paper | LibreCat-ID: 21639 | 
Gottschalk, S., Yigitbas, E., Nowosad, A., & Engels, G. (2021). Situation-specific Business Model Development Methods for Mobile App Developers. In Enterprise, Business-Process and Information Systems Modeling. Springer. https://doi.org/10.1007/978-3-030-79186-5_17
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2021 | Book Chapter | LibreCat-ID: 25528
Gottschalk, S., Yigitbas, E., Nowosad, A., & Engels, G. (2021). Situation- and Domain-specific Composition and Enactment of Business Model Development Methods. In Product-focused Software Process Improvement. 22nd International Conference on Product-Focused Software Process Improvement, Turin. Springer.
LibreCat
2021 | Journal Article | LibreCat-ID: 32560 |
Tagliabue, S., Zambelli, M., Sorgente, A., Sommer, S., Hoellger, C., Buhl, H. M., & Lanz, M. (2021). Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance. Frontiers in Psychology, 12, Article 672383. https://doi.org/10.3389/fpsyg.2021.672383
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2021 | Journal Article | LibreCat-ID: 25046 |
Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article 210. https://doi.org/10.3390/machines9100210
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2021 | Journal Article | LibreCat-ID: 35202
Goller, M., Caruso, C., & Harteis, C. (2021). Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training, 8(2), 208–223. https://doi.org/10.13152/IJRVET.8.2.4.
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| DOI
2021 | Conference Paper | LibreCat-ID: 24280
Gräßler, I., & Wiechel, D. (2021). Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements. In D. Krause, K. Paetzold, & S. Wartzack (Eds.), DS 111: Proceedings of the 32nd Symposium Design for X. https://doi.org/10.35199/dfx2021.12
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2021 | Conference Paper | LibreCat-ID: 24080 |
Gräßler, I., Wiechel, D., Roesmann, D., & Thiele, H. (2021). V-model based development of cyber-physical systems and cyber-physical production systems. Procedia CIRP, 253–258. https://doi.org/10.1016/j.procir.2021.05.119
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2021 | Conference Paper | LibreCat-ID: 22724 |
Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843
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2021 | Conference Paper | LibreCat-ID: 27111 |
Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro, W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, & O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042
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2021 | Journal Article | LibreCat-ID: 25212
Qudus, U., Saleem, M., Ngonga Ngomo, A.-C., & Lee, Y.-K. (n.d.). An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic Web, 12(6), 843–868. https://doi.org/10.3233/SW-200420
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2020 | Conference Paper | LibreCat-ID: 19606 |
Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). ProConAR: A Tool Support for Model-based AR Product Configuration. In R. Bernhaupt, C. Ardito, & S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol. 12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_14
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2020 | Book Chapter | LibreCat-ID: 21542
Schröder, D., Lange, S., Hangmann, C., & Hedayat, C. (2020). 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., pp. 315-346 (32)). Croyton, UK: The Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbcs072e_ch14
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2020 | Conference Paper | LibreCat-ID: 16933 |
Gottschalk, S., Rittmeier, F., & Engels, G. (2020). Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In Proceedings of the 22nd IEEE International Conference on Business Informatics. Antwerp: IEEE. https://doi.org/10.1109/CBI49978.2020.00022
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2020 | Conference Paper | LibreCat-ID: 16934 |
Gottschalk, S., Yigitbas, E., & Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. https://doi.org/10.1007/978-3-030-52306-0_18
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2020 | Working Paper | LibreCat-ID: 17019 |
Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.
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