233 citations
- BMW Group (Germany)DE23 papers
- Technical University of MunichDE19 papers
- Ludwig-Maximilians-Universität MünchenDE8 papers
- University of StuttgartDE6 papers
- Universität UlmDE4 papers
- Google (Switzerland)CH3 papers
- Robert Bosch (Germany)DE3 papers
- Siemens (Germany)DE3 papers
- Amazon (United States)US2 papers
- ETH ZurichCH2 papers
- Infineon Technologies (Germany)DE2 papers
- Istituto Nazionale di Fisica NucleareIT2 papers
58 papers
Characterization of the Low Energy Excess using a NUCLEUS AlO detector
H. Abele, G. Angloher, B. Arnold +62
The NUCLEUS experiment aims to detect coherent elastic neutrino-nucleus scattering of reactor antineutrinos using low-threshold, gram-scale cryogenic calorimeters. Similar to other…
ConVibNet: Needle Detection during Continuous Insertion via Frequency-Inspired Features
Jiamei Guo, Zhehao Duan, Maria Neiiendam +3
Purpose: Ultrasound-guided needle interventions are widely used in clinical practice, but their success critically depends on accurate needle placement, which is frequently hindere…
Enhancing Generative AI Image Refinement with Scribbles and Annotations: A Comparative Study of Multimodal Prompts
Hyerim Park, Phuong Thao Tran, Andre Luckow +3
Generative AI (GenAI) image tools are increasingly used in design practice, enabling rapid ideation but offering limited support for refinement tasks such as adjusting layout, scal…
Evaluating Generative AI in the Lab: Methodological Challenges and Guidelines
Hyerim Park, Khanh Huynh, Malin Eiband +3
Generative AI (GenAI) systems are inherently non-deterministic, producing varied outputs even for identical inputs. While this variability is central to their appeal, it challenges…
Near-real-time ship grounding damage assessment using Bayesian networks
Dimitris G. Georgiadis, Manolis S. Samuelides, Daniel Straub
In a post-grounding event, the rapid assessment of hull girder residual strength is crucial for making informed decisions, such as determining whether the vessel can safely reach t…
Sensitivity analysis of image classification models using generalized polynomial chaos
Lukas Bahr, Lucas Poßner, Konstantin Weise +2
Integrating advanced communication protocols in production has accelerated the adoption of data-driven predictive quality methods, notably machine learning (ML) models. However, ML…