Publications 2026

[j26.1]
S. Bosse, A Distributed Virtual Machine for Mesh-grid Sensor Networks supporting In-Sensor Data Processing and Distributed Machine Learning with strictly resource-constrained Microcontrollers, Algorithms. 2026; 19(6):445. https://doi.org/10.3390/a19060445
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[c26.1]
S. Bosse, Jens Prager, Dirk Gohlke, Dirk Lehmhus (2026), Porosity Characterization of High-pressure die-cast Plates by a Fusion of Ultrasonic and X-ray Measuring Methods and Explainable Data-driven Modeling, DGZfP Jahrestagung 2026, 11-13.5.2026, Aachen.
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[c26.2]
S. Bosse, Design of Analog Computers: Building Blocks and Advanced Methods for Tiny Analog Machine Learning with Surrogate Modeling, 7th International Conference on System-Integrated Intelligence, Procedia Computer Science, Amsterdam: Elsevier 2026 (276), S. 223 - 237, https://doi.org/10.1016/j.procs.2026.02.028
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[C26.3]
S. Bornemann, C. Polle, S. Bosse, D. May, M. Skowrons, B. Lüssum, Integration of Organic-Electrochemical Transistors into Composite Material for Structural Health Monitoring, 7th International Conference on System-Integrated Intelligence. Procedia Computer Science, Amsterdam: Elsevier 2026 (276) S. 126 - 137, https://doi.org/10.1016/j.procs.2026.02.016
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[c26.4]
S. Bosse, C. Polle, Physics-based Surrogate Modeling of Impact Damage in Multi-material Laminates for Ultrasonic Diagnostics and ML Damage Prediction, International Civil Structural Health Monitoring Workshop CSHM 2026, 9-11.6.2026, Berlin.
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