Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dennis Teutscher"'
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1784 (2024)
The present state of research in computational fluid dynamics (CFD) is marked by an ongoing process of refining numerical methods and algorithms with the goal of achieving accurate modeling and analysis of fluid flow and heat transfer phenomena. Rema
Externí odkaz:
https://doaj.org/article/33571f8a2a0b48cbaacd8d02281845e6
Publikováno v:
Multimodal Technologies and Interaction, Vol 6, Iss 9, p 81 (2022)
Computational fluid dynamics (CFD) are being used more and more in the industry to understand and optimize processes such as fluid flows. At the same time, tools such as augmented reality (AR) are becoming increasingly important with the realization
Externí odkaz:
https://doaj.org/article/88a12a51ee644b189ebd5d5dd155b625
Autor:
Stefanie Schutera, Marc Schnierle, Mathilde Wu, Tim Pertzel, Jonathan Seybold, Patricia Bauer, Dennis Teutscher, Matthias Raedle, Natascha Heß-Mohr, Sascha Röck, Mathias J. Krause
Publikováno v:
Education Sciences, Vol 11, Iss 8, p 368 (2021)
Learning content in mathematics, such as vector geometry, is still predominantly taught in an abstract manner, as the visualization and interaction of three-dimensional problems are limited with classical forms of teaching such as blackboard lessons
Externí odkaz:
https://doaj.org/article/b556ae4a6327401f9d628e05d0c1a22d
Publikováno v:
ITSC
Depth completion from sparse LiDAR and high-resolution RGB data is one of the foundations for autonomous driving techniques. Current approaches often rely on CNN-based methods with several known drawbacks: flying pixel at depth discontinuities, overf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85249280daa40e5865971b3e54f827fb
http://arxiv.org/abs/2107.06711
http://arxiv.org/abs/2107.06711