Forschungsleistungen School of Engineering
Die neuesten Publikationen und Projekte aus der School of Engineering.
Publikationen
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Navadeh, Navid; Sareh, Pooya; Basovsky, Vladimir G.; Gorban, Irina M.; Soleiman Fallah, Arash,
2021.
Nonlinear vibrations in homogeneous non-prismatic Timoshenko cantilevers.
Journal of Computational and Nonlinear Dynamics.
Verfügbar unter: https://doi.org/10.1115/1.4051820
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Dettling, Marcel; Walser, Manuel; Frey, Martin,
2021.
Impact of mislabelling on deep learning.
In:
ISI 2021 : 63rd World Statistics Congress, virtual, 11-16 july 2021.
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Scherrer, Maike; Hollenstein, Lukas; Stadler, Michael; Heim, Edgar,
2021.
Towards a symbiotic mutualism through external supply chain integration [Paper].
In:
Proceedings of the 28th EurOMA Conference.
EurOMA 2021 : Managing the “new normal”: the future of Operations and Supply Chain Management in unprecedented times, Berlin, Germany (online), 5-7 July 2021.
European Operations Management Association.
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Doege, Patrick; Scherrer, Maike,
2021.
In:
Proceedings of the 28th EurOMA Conference.
EurOMA 2021 : Managing the “new normal”: the future of Operations and Supply Chain Management in unprecedented times, Berlin, Germany (online), 5-7 July 2021.
European Operations Management Association.
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2021.
A lower bound for sequentially placing boxes at the moving assembly line to minimize walking time [Paper].
In:
IWDSP 2021 : The Third International Workshop on Dynamic Scheduling Problems, Poznań (Poland), 5-7 July 2021.
Projekte
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Energieeffizienter, autonomer Bohrroboter für Geothermiebohrungen
Geothermische Wärmepumpen haben sich im Laufe der Jahre als effizient und nachhaltig erwiesen. Obwohl sie heute eine wichtige Rolle bei der Auswahl des Heizungssystems beim Bau neuer Gebäude spielen, ist es für bestehende Gebäude häufig nicht möglich, eine geothermische Wärmepumpe hinzuzufügen, da nicht genügend ...
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Good practices for responsible development of AI-based applications in healthcare
This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices. ...
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Machine Learning Enhanced Process Simulation in Laser Powder Bed Fusion (LPBF)
The project aims to develop and implement dedicated calibration procedures and parts that are tailored to critical applications of ABB and Sauber, to improve the accuracy of distortion predictions for specific components. Machine learning is then used to enhance simulations also beyond the calibrated regime. This ...
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GraphQueryML – Verwendung von maschinellem Lernen zur Optimierung von Abfragen in Graphdatenbanken (SNF/DFG)
Mit maschinellem Lernen das "Gehirn" von Datenbanken verbessern: Die Abfrageoptimierung (Query Optimization) ist eines der schwierigsten Probleme der Datenbankforschung. Ein Abfrageoptimierer kann als das "Gehirn" des Systems betrachtet werden, das dafür sorgt, dass Abfragen effizient ausgeführt werden. Auch nach ...
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Machine Learning-Aided Startup Investing (MALASI)
The venture capital (VC) industry faces challenges with excess capital to be invested into startups and globalization of its business. VC thought leaders foresee a more global, transparent and AI-supported investment decision-taking approach as potential differentiator for VC firms. Raized.ai builds and offers ...