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Schuler, Nicolas; Dewald, Lea; Graf, Jürgen
Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
Lürig, Christoph; Fell, Fabian
A Framework for Explainable AI in Wargames to Understand StrategiesSugimoto, Maki u. a. (Hrsg). Entertainment Computing – ICEC 2025. Springer Nature Switzerland 2025 S. 280 - 292 (LNCS, volume 16042)
Plassmann, Jessica; Schuler, Nicolas; Schuth, Michael et al.
Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect DetectionCornell University (Hrsg). arXiv. online: arXiv 2025 11 S.
Conen, Robin; Hepke, Nikolai; Lohscheller, Jörg et al.
Durchführbarkeit und Benutzerfreundlichkeit von sportpsychologischen Interventionen bei chronischen Rückenschmerzen in Augmented Reality.57. Jahrestagung der Arbeitsgemeinschaft für Sportpsychologie (asp) der Bundesrepublik Deutschland e.V. Bochum. 2025
Conen, Robin; Hepke, Nikolai; Lohscheller, Jörg et al.
Feasibility and user experience of augmented reality psychoeducation and mindfulness body scan for chronic low back painFrontiers in Pain Research. Bd. 6. Frontiers Media SA 2025
Schuler, Nicolas; Dewald, Lea; Baldig, Nick et al.
From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile RoboticsBramer, Max; Stahl, Frederic (Hrsg). Artificial Intelligence XLII. Springer Nature Switzerland 2025 S. 301 - 315 (Lecture Notes in Computer Science (Volume 16302))
Beise, Hans-Peter; Albared, Mohammed; Stüber, Manfred
How confident and reliable are deep learning models for streamflow prediction under flood conditionsNatural Hazards. Bd. accepted for publication. Springer 2025
Hepke, Nikolai; Scherer, Moritz; Weyers, Benjamin et al.
Minimizing Validation Artifacts in Azure Kinect Caused by Marker-Based Systems using Synchronized MarkersIEEE Sensors Journal. Bd. 25. H. 6. Vancouver. 2025 S. 9689 - 9698
Plassmann, Jessica; Schuler, Nicolas; von Freymann, Georg et al.
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic DataBramer, Max; Stahl, Frederic (Hrsg). Artificial Intelligence XLII. Springer Nature 2025 S. 316 - 329 (Lecture Notes in Computer Science, Volume 16302)
Lürig, Christoph; Mentler, Tilo
Comparison of a Kinematic and a Dynamic Docking Task Interaction Technique in an Interactive Physics AR Simulation.ISMAR-Adjunct. 2024 S. 592 - 595