Proceedings of the Upper-Rhine Artificial Intelligence Symposium

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Published October 29, 2024
Proceedings of the Upper-Rhine Artificial Intelligence Symposium 2024

URAI 2024 was hosted by the Institute for Machine Learning and Analytics at Offenburg University on November 13th and 14th. The theme for URAI'24 was "Applied AI in the age of Generative AI".

All submissions received at least two independent reviews from members of the PC in a single blind setting. The papers were accepted for oral or poster presentation.  

General chairs: Klaus Dorer (HS Offenburg) and Janis Keuper (HS Offenburg)

Program Committee: Klaus Dorer (HS Offenburg), Uwe Haneke (HS Karlsruhe),  Janis Keuper (HS Offenburg), Thomas Lampert (Université de Strasbourg), Tobias Lauer (HS Offenburg), Jean-Philippe Lauffenburger (Université de Haute-Alsace), Stefan Naumann (HS Trier), Daniela Oelke (HS Offenburg), Maja Temerinac-Ott (HS Furtwangen), Christoph Reich (HS Furtwangen), Susanne Suter (FH Nordwestschweiz), Dieter Wallach (HS Kaiserslautern)

Website: http://urai24.org

ISBN: 978-3-943301-34-2

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The Upper Rhine Artificial Intelligence Symposium

The Upper Rhine Artificial Intelligence Symposium is the annual scientific conference and networking event of the tri-national AI research community of TriRhenaTech.


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February 13, 2026

Articles

Diana Kolbe, Andrea Mueller, Barbara Woerz
11-20
Content Creation with GenAI: Use Case on ClimaClic´s Instagram Marketing
PDF
Stefan Glaser, Thomas Seifert, Daniela Oelke
21-30
Can Machine Learning and Explainable Artificial Intelligence Help to Improve an Expert Model for Predicting Thermomechanical Fatigue?
PDF
Henrik Pichler, Janis Keuper, Matthew Copping
31-40
Semi-supervised mold differentiation using typical laboratory results as label data
PDF
Götz-Henrik Wiegand, Filip Stepniak, Patrick Baier
41-50
Leveraging Generative AI for Enhancing Domain-Driven Software Design
PDF
Lukas Schwab, Louis Emier, Paul Machauer, Michael Quarti, Rainer Gasper
51-58
Prediction of PV Power Production with Neural ODEs on the base of Weather data
PDF
Parantapa Sawant, Ralph Eismann
59-68
A Commissioning-Oriented Fault Detection Framework for Building Heating Systems Using SARIMAX Models
PDF
Rudolf Hoffmann, Slimane Arbaoui, Léa Charbonnier, Amel Hidouri, Ali Ayadi, Franco Giustozzi, Thomas Heitz, Julien Saunier, Frédéric Pelascini, Christoph Reich, Ahmed Samet, Cecilia Zanni-Merk
69-76
Artificial Intelligence for Quality Assurance and Troubleshooting in Industry
PDF
Thomas Granser, Maximilian Giessler, Stefan Glaser, Bernd Waltersberger, Stefan Hensel
77-84
Exploration of Neural Network Architectures for Inertia Parameter Identification of a Robotic Arm
PDF
Daniel Ladwig, Martin Spitznagel, Jan Vaillant, Klaus Dorer, Janis Keuper
85-94
AI-Guided Noise Reduction for Urban Geothermal Drilling
PDF
Kenan Weber, Christine Preisach
95-104
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
PDF
Pavel Livotov, Mas'udah
105-112
The Potential of Generative AI for Systematic Engineering Innovation
PDF
Mas'udah, Pavel Livotov, Saptadi Nugroho
113-122
Evaluating AI-Generated Solution Ideas: A Comparative Study of AI and Human Assessments for Sustainable Process Design
PDF
Sian Brumm, Rolf Krieger, Christoph Brosch
123-130
Specification and Identification of Relationships between Products in the Food Segment
PDF
Christian Hansmann, Simone Braun
131-142
AI Chatbots in Design Thinking
PDF
Celeste Chudyk, Damian Läufer, Simone Braun, Tobias Hagen
143-152
AI Adaption within SMEs: Analysis of Impedances and Suggested Approaches
PDF
Julie Munsch, Sonia Ouali, Jean-Baptiste Courbot, Romain Pierron, Olivier Haeberlé
153-158
Data augmentation for pathogen segmentation in vinewood fluorescence microscopy images
PDF
Fabian Nicklas, Nicolas Ventulett, Jan Conrad
159-166
Enhancing Phishing Email Detection with Context-Augmented Open Large Language Models
PDF
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