Zobrazeno 1 - 10
of 8 739
pro vyhledávání: '"P. Scholl"'
Autor:
Schad, Thomas A., Petrie, Gordon J. D., Kuhn, Jeffrey R., Fehlmann, Andre, Rimmele, Thomas, Tritschler, Alexandra, Woeger, Friedrich, Scholl, Isabelle, Williams, Rebecca, Harrington, David, Paraschiv, Alin R., Szente, Judit
Publikováno v:
Science Advances, Vol. 10, no. 37, adq1604, 2024
Regular remote sensing of the magnetic field embedded within the million-degree solar corona is severely lacking. This reality impedes fundamental investigations of the nature of coronal heating, the generation of solar and stellar winds, and the imp
Externí odkaz:
http://arxiv.org/abs/2410.21568
Offloading computationally expensive algorithms to the edge or even cloud offers an attractive option to tackle limitations regarding on-board computational and energy resources of robotic systems. In cloud-native applications deployed with the conta
Externí odkaz:
http://arxiv.org/abs/2410.18825
Recent advancements in machine learning have transformed the discovery of physical laws, moving from manual derivation to data-driven methods that simultaneously learn both the structure and parameters of governing equations. This shift introduces ne
Externí odkaz:
http://arxiv.org/abs/2410.09938
Autor:
Chakravarty, Arunava, Emre, Taha, Lachinov, Dmitrii, Rivail, Antoine, Scholl, Hendrik, Fritsche, Lars, Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
Predicting future disease progression risk from medical images is challenging due to patient heterogeneity, and subtle or unknown imaging biomarkers. Moreover, deep learning (DL) methods for survival analysis are susceptible to image domain shifts ac
Externí odkaz:
http://arxiv.org/abs/2409.20195
Testing and evaluation of robotics systems is a difficult and oftentimes tedious task due to the systems' complexity and a lack of tools to conduct reproducible robotics experiments. Additionally, almost all available tools are either tailored toward
Externí odkaz:
http://arxiv.org/abs/2409.07080
The automotive industry is currently expanding digital display options with every new model that comes onto the market. This entails not just an expansion in dimensions, resolution, and customization choices, but also the capability to employ novel d
Externí odkaz:
http://arxiv.org/abs/2409.02647
Autor:
Scholl, Stefan
Embedded spaces are a key feature in deep learning. Good embedded spaces represent the data well to support classification and advanced techniques such as open-set recognition, few-short learning and explainability. This paper presents a compact over
Externí odkaz:
http://arxiv.org/abs/2408.01767
Autor:
Scholl, Andreas, Kiesler, Natalie
This research paper contributes to the computing education research community's understanding of Generative AI (GenAI) in the context of introductory programming, and specifically, how students utilize related tools, such as ChatGPT. An increased und
Externí odkaz:
http://arxiv.org/abs/2407.20792
Autor:
Bieker, Katharina, Kussaba, Hugo Tadashi, Scholl, Philipp, Jung, Jaesug, Swikir, Abdalla, Haddadin, Sami, Kutyniok, Gitta
Many systems occurring in real-world applications, such as controlling the motions of robots or modeling the spread of diseases, are switched impulsive systems. To ensure that the system state stays in a safe region (e.g., to avoid collisions with ob
Externí odkaz:
http://arxiv.org/abs/2407.20084
Publikováno v:
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
In the past few years, there has been a growing significance of interactions between human workers and automated systems throughout the factory floor. Wherever static or mobile robots, such as automated guided vehicles, operate autonomously, a protec
Externí odkaz:
http://arxiv.org/abs/2407.15177