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  1. AI for All? Challenging the Democratization of Machine Learning

    Luchs, I., 07.09.2023, In: A Peer-reviewed Journal About --. 12, 1, p. 135-147 13 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Published

    Learning machine learning: On the political economy of big tech's online AI courses

    Luchs, I., Apprich, C. & Broersma, M., 01.01.2023, In: Big Data and Society. 10, 1, p. 1-12 12 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. What are we talking about when we talk about the (post)secular? Recentering mutual participation and a commitment to communicability in scholarly discussions of contemporary religions

    Robinson, M. R., 01.03.2023, In: Dialog. 62, 1, p. 51-65 15 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  4. Friedrich schleiermacher and the postsecular: "Pacemaker for the Consciousness of a Postsecular Society"?

    Robinson, M. R., 18.12.2023, The Oxford Handbook of Friedrich Schleiermacher. Dole, A. C., Poe, S. M. & Vander Schel, K. M. (eds.). Oxford University Press Japan , p. 645-659 15 p.

    Research output: Contributions to collected editions/works › Chapter › peer-review

  5. Identification of hybridization strategies for combining fused filament fabrication with unidirectional tape reinforcement

    Matkovic, N., Höger, K., Friedmann, M., Stamer, F., Fleischer, J. & Lanza, G., 02.2023, In: Composites Communications. 38, 4 p., 101484.

    Research output: Journal contributions › Journal articles › Research › peer-review

  6. Development of a simulative approach in order to estimate the impact of smart services on a production system: Linking the influence of smart services to economic potential in production

    Stamer, F., Fausel, K., Peukert, S. & Lanza, G., 10.2023, In: Production Engineering. 17, 5, p. 743-752 10 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  7. Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’

    Chen, T., Sampath, V., May, M. C., Shan, S., Jorg, O. J., Aguilar Martín, J. J., Stamer, F., Fantoni, G., Tosello, G. & Calaon, M., 02.2023, In: Applied Sciences (Switzerland). 13, 3, 32 p., 1903.

    Research output: Journal contributions › Journal articles › Research › peer-review

  8. Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches: application on micro gears

    Khezri, A., Schiller, V., Goka, E., Homri, L., Etienne, A., Stamer, F., Dantan, J. Y. & Lanza, G., 06.2023, In: International Journal of Advanced Manufacturing Technology. 126, 9-10, p. 4101-4117 17 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  9. Dynamic pricing of product and delivery time in multi-variant production using an actor critic reinforcement learning

    Stamer, F. & Lanza, G., 01.2023, In: CIRP Annals. 72, 1, p. 405-408 4 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  10. Modeling the effect of workpiece temperature on micromagnetic high-speed-3MA-testing in case of AISI 4140

    Güray, A., Böttger, D., González, G., Stamer, F., Lanza, G., Wolter, B. & Schulze, V., 2023, In: Procedia CIRP. 117, p. 133-138 6 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

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