Jonas-Ahrend G, Kapanadze M, Mazzolini A, Joubran F. Ergebnisse einer Reviewstudie zur Evaluation von Physiklehrbüchern. In: ; 2023.
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Knorr L, Schlosser F, Meschede H. Assessment of Energy Efficiency and Flexibility Measures in Electrified Process Heat Generation Based on Simulations in the Animal Feed Industry. Journal of Sustainable Development of Energy, Water and Environment Systems. 2023;11(3):0-0. doi:10.13044/j.sdewes.d11.0444
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DOI: 10.13044/j.sdewes.d11.0444

Hinrichs B, Matte O. Feynman-Kac formula for fiber Hamiltonians in the relativistic Nelson  model in two spatial dimensions. arXiv:230909005. Published online 2023.
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arXiv: 2309.09005

Haddadian S, Scheytt JC, von Bögel G, Grenter T. A Sub-Threshold Microwave RFID Tag Chip, Compatible With RFID MIMO Reader Technology. 10.1109/JRFID.2023.3308332__IEEE Journal of Radio Frequency Identification. Published online 2023. doi:10.1109/JRFID.2023.3308332
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Wilke D, Grothe R, Bretz L, Anacker H, Dumitrescu R. Lessons Learned from the Introduction of Systems Engineering. Systems. 2023;11(3). doi:10.3390/systems11030119
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Gabriel S, Bentler D, Bansmann M, Andrew Latos B, Kühn A, Dumitrescu R. Soziotechnische Gestaltung einer intelligenten Personaleinsatzplanung. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 2023;118(1-2):64-68. doi:10.1515/zwf-2023-1009
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Menzefricke JS, Gabriel S, Gundlach T, et al. Soziotechnisches Risikomanagement als Erfolgsfaktor für die Digitale Transformation. In: Schwerpunkt Business Model Innovation. Springer Fachmedien Wiesbaden; 2023. doi:10.1007/978-3-658-36634-6_14
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Bentler D, Gabriel S, Latos BA, Dietrich O, Dumitrescu R, Maier GW. Partizipatives Gestaltungsvorgehen bei der Einführung künstlicher Intelligenz in produzierenden Unternehmen. In: GfA-Frühjahrskongress 2023. GfA, Sankt Augustin; 2023.
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Weller J, Roesmann D, Eggert S, von Enzberg S, Gräßler I, Dumitrescu R. Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics. Procedia CIRP. 2023;119:514-520. doi:10.1016/j.procir.2023.01.011
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Machon F, Gabriel S, Latos B, et al. Design of individual simulation games in manufacturing companies for game-based learning. Procedia CIRP. 2023;119:1017-1022. doi:10.1016/j.procir.2023.03.145
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Brock J, von Enzberg S, Kühn A, Dumitrescu R. Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects. Procedia CIRP. 2023;119:602-607. doi:10.1016/j.procir.2023.03.114
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DOI: 10.1016/j.procir.2023.03.114

Wilke D, Schierbaum A, Anacker H, Dumitrescu R. Targeted-oriented selection of engineering methods. Procedia CIRP. 2023;119:788-793. doi:10.1016/j.procir.2023.02.166
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DOI: 10.1016/j.procir.2023.02.166

König J. On the Membership and Correctness Problem for State Serializability and Value Opacity.; 2023.
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Hansmeier T. XCS for Self-Awareness in Autonomous Computing Systems.; 2023.
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Gharibian S, Hayakawa R, Gall FL, Morimae T. Improved Hardness Results for the Guided Local Hamiltonian Problem. In: Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP). Vol 261. ; 2023:1-19. doi:10.4230/LIPIcs.ICALP.2023.32
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DOI: 10.4230/LIPIcs.ICALP.2023.32
arXiv: 2207.10250

Humpert L, Wäschle M, Horstmeyer S, Anacker H, Dumitrescu R, Albers A. Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering. Procedia CIRP. 2023;119:693-698. doi:10.1016/j.procir.2023.02.160
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DOI: 10.1016/j.procir.2023.02.160

Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society. Published online 2023:1-14. doi:10.1109/ojies.2023.3323870
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DOI: 10.1109/ojies.2023.3323870

Winkel F, Deuse-Kleinsteuber J, Böcker J. Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE Transactions on Reliability. Published online 2023:1-14. doi:10.1109/tr.2023.3255786
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DOI: 10.1109/tr.2023.3255786

Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:10.1145/3594805.3607136
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DOI: 10.1145/3594805.3607136

Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. Applications of Evolutionary Computation. Springer Nature Switzerland; 2023:411–425.
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