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45 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 7175
Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms
P.T. Mayer, J. Rexilius, in: 9th Iberian Robotics Conference (ROBOT) , n.d.
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P.T. Mayer, J. Rexilius, in: 9th Iberian Robotics Conference (ROBOT) , n.d.
2026 | Konferenzbeitrag | FH-PUB-ID: 7174
A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer
P.T. Mayer, J. Rexilius, in: 26th International Conference on Control, Automation and Systems (ICCAS), n.d.
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P.T. Mayer, J. Rexilius, in: 26th International Conference on Control, Automation and Systems (ICCAS), n.d.
2026 | Konferenzbeitrag | FH-PUB-ID: 7173
Reinforcement Learning-based MAV Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints
A. Kirsch, J. Rexilius, in: n.d.
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A. Kirsch, J. Rexilius, in: n.d.
2026 | Konferenzbeitrag | FH-PUB-ID: 7068
Smart data adapter: A hybrid pattern-LLM approach
L. Döring, S. Trojahn, P. Reusch, in: F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2026.
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L. Döring, S. Trojahn, P. Reusch, in: F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2026.
2026 | Artikel | FH-PUB-ID: 7034
Adaptive Service Level Agreements
J. Prell, A. Schmidtmann, ERP Management 22 (2026) 28–33.
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J. Prell, A. Schmidtmann, ERP Management 22 (2026) 28–33.
2026 | Diskussionspapier | FH-PUB-ID: 6827 |
UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY
K. Makowsky, Y. Sezer Efe, UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY, 2026.
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K. Makowsky, Y. Sezer Efe, UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY, 2026.
2025 | Artikel | FH-PUB-ID: 6244 |
Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems
M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and Cognitive Computing 9 (2025).
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M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and Cognitive Computing 9 (2025).
2025 | Konferenzbeitrag | FH-PUB-ID: 6235 |
Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES
M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.
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M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.
2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
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B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
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B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
2025 | Konferenzbeitrag | FH-PUB-ID: 6049 |
Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
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M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
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M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
2024 | Artikel | FH-PUB-ID: 4278 |
Investigating the Technical Reuse Potential of Crystalline Photovoltaic Modules with Regard to a Recycling Alternative
A.K. Schnatmann, T. Reimers, E. Hüdepohl, J. Umlauf, P. Kleinebekel, F. Schoden, E. Schwenzfeier-Hellkamp, Sustainability 16 (2024).
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A.K. Schnatmann, T. Reimers, E. Hüdepohl, J. Umlauf, P. Kleinebekel, F. Schoden, E. Schwenzfeier-Hellkamp, Sustainability 16 (2024).
2024 | Dissertation | FH-PUB-ID: 4392 |
Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]
F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und Landesbibliothek Sachsen-Anhalt, Bernburg, 2024.
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F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und Landesbibliothek Sachsen-Anhalt, Bernburg, 2024.
2024 | Artikel | FH-PUB-ID: 5022 |
Safety of Hydrogen Storage Technologies
E. Davies, E. Schwenzfeier-Hellkamp, A. Ehrmann, Processes 12 (2024).
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E. Davies, E. Schwenzfeier-Hellkamp, A. Ehrmann, Processes 12 (2024).
2024 | Fachbuch | FH-PUB-ID: 4998
Adaptive IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem IT-(Out)Sourcing
G. Köhler, W. Roth, A. Schmidtmann, Adaptive IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem IT-(Out)Sourcing, 1st ed., Springer Fachmedien Wiesbaden, Wiesbaden, 2024.
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G. Köhler, W. Roth, A. Schmidtmann, Adaptive IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem IT-(Out)Sourcing, 1st ed., Springer Fachmedien Wiesbaden, Wiesbaden, 2024.
2024 | Artikel | FH-PUB-ID: 4881
KI-basiertes Unterstützungstool für pflegende Erwerbstätige
F. Wiegraebe, M. Schönbeck, P. Wunderlich, A. Nauerth, H. Dörksen, Pflege und Gesellschaft 3 (2024) 271–285.
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F. Wiegraebe, M. Schönbeck, P. Wunderlich, A. Nauerth, H. Dörksen, Pflege und Gesellschaft 3 (2024) 271–285.
2023 | Konferenzbeitrag | FH-PUB-ID: 4394 |
Predicting processing times in high mix low volume job shops
A. Müller, F. Grumbach, in: E. Glistau, S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2023.
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A. Müller, F. Grumbach, in: E. Glistau, S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2023.
2023 | Artikel | FH-PUB-ID: 2830 |
Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study
I. Klemme, K.J. Wrona, I.M. de Jong, C. Dockweiler, L. Aschentrup, J. Albrecht, JMIR Diabetes 8 (2023).
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I. Klemme, K.J. Wrona, I.M. de Jong, C. Dockweiler, L. Aschentrup, J. Albrecht, JMIR Diabetes 8 (2023).
2023 | Diskussionspapier | FH-PUB-ID: 3729 |
Benchmarking of Machine Learning Models for Tabular Scarce Data
J. Kösters, M. Schöne, M. Kohlhase, Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d.
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J. Kösters, M. Schöne, M. Kohlhase, Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d.