101 citations
- Trier University of Applied SciencesDE7 papers
- German Research Centre for Artificial IntelligenceDE4 papers
- KU LeuvenBE4 papers
- University of KaiserslauternDE4 papers
- Fraunhofer Institute for Industrial MathematicsDE3 papers
- Université de MontréalCA3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Ghent UniversityBE2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Lebanese American UniversityLB2 papers
- Max Planck SocietyDE2 papers
- McGill UniversityCA2 papers
72 papers
Language-Representability: Possibilities and Limitations
Zhidan Feng, Henning Fernau, Pamela Fleischmann +2
The study of word-representability was initiated by the seminal work of Kitaev and Pyatkin in 2008 that has later led to the monograph by Kitaev and Lozin in 2015. In this paper, w…
2-Head 2D Returning Finite Automata
Henning Fernau, Benedek Nagy, R. Jennifer Rose +2
We introduce and study a family of two-head finite automata called two head returning finite automata (2-HRFA) operating on rectangular arrays of picture languages, in which both h…
Mach-Zehnder based Rotational Shearing Interferometer for Non-destructive Testing using Spatial Phase-Shifting Shearography
Valentin-Johannes Bastgen, Michael Schuth, Georg von Freymann
This work introduces a novel optical setup based on a Mach-Zehnder interferometer, enabling spatial phase shifting shearography with rotational shear. The optical concept employs a…
Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction
Nils Schwager, Simon Münker, Alistair Plum +1
The transition of Large Language Models (LLMs) from exploratory tools to active "silicon subjects" in social science lacks extensive validation of operational validity. This study…
Model-Driven Legacy System Modernization at Scale
Tobias Böhm, Jens Guan Su Tien, Mohini Nonnenmann +3
This experience report presents a model-driven approach to legacy system modernization that inserts an enriched, technology-agnostic intermediate model between the legacy codebase…
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…