19 citations
- Technical University of MunichDE17 papers
- University of StuttgartDE5 papers
- Karlsruhe Institute of TechnologyDE4 papers
- Daimler (Germany)DE2 papers
- Daimler Truck (Germany)2 papers
- Fraunhofer Institute for Manufacturing Engineering and AutomationDE2 papers
- Software (Germany)DE2 papers
- University of PassauDE2 papers
- Weizenbaum InstituteDE2 papers
- Berlin Center for Epidemiology and Health ResearchDE1 paper
- Brainlab (Germany)DE1 paper
- Centre Inria de l'Université de LorraineFR1 paper
18 papers · 1 filter
Test Case Specification Techniques and System Testing Tools in the Automotive Industry: A Review
Denesa Zyberaj, Pascal Hirmer, Marco Aiello +1
The automotive domain is shifting to software-centric development to meet regulation, market pressure, and feature velocity. This shift increases embedded systems' complexity and s…
Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
Vu Duc Anh Nguyen, Ziyue Li
The operational efficiency of railway networks, a cornerstone of modern economies, is persistently undermined by the cascading effects of train delays. Accurately forecasting this…
pyGinkgo: A Sparse Linear Algebra Operator Framework for Python
Keshvi Tuteja, Gregor Olenik, Roman Mishchuk +5
Sparse linear algebra is a cornerstone of many scientific computing and machine learning applications. Python has become a popular choice for these applications due to its simplici…
A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras
Gauthier Grimmer, Romain Wenger, Clément Flint +3
The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biodiversity, water quality, and h…
Data-Efficient Quantum Noise Modeling via Machine Learning
Yanjun Ji, Marco Roth, David A. Kreplin +2
Maximizing the computational utility of near-term quantum processors requires predictive noise models that inform robust, noise-aware compilation and error mitigation. Conventional…
How LLMs are Shaping the Future of Virtual Reality
Süeda Özkaya, Santiago Berrezueta-Guzman, Stefan Wagner
The integration of Large Language Models (LLMs) into Virtual Reality (VR) games marks a paradigm shift in the design of immersive, adaptive, and intelligent digital experiences. Th…