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pro vyhledávání: '"Schlimbach, A"'
Autor:
Rempe, M., Hörst, F., Seibold, C., Hadaschik, B., Schlimbach, M., Egger, J., Kröninger, K., Breuer, F., Blaimer, M., Kleesiek, J.
We present a novel preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes advantage of the information rich complex valued k-Space. Using a publicly available MRI raw dataset with 312 subject and a
Externí odkaz:
http://arxiv.org/abs/2407.06165
Autor:
Schlimbach, Guido
Publikováno v:
Liturgisches Jahrbuch. 2023, Vol. 73 Issue 2, p127-152. 26p.
Autor:
Benedikt Bergmann, Jens Schlimbach
Publikováno v:
European Journal of Materials, Vol 4, Iss 1 (2024)
This study focuses on the measurement of frictional properties of towpregs applied in filament winding processes for carbon fiber reinforced plastic (CFRP) manufacturing. The filament winding technique is widely employed for creating rotationally sym
Externí odkaz:
https://doaj.org/article/de5f7d1b53c74286bf5d87020500b6ba
Autor:
Schlimbach, Guido1,2 post@schlimbach.koeln
Publikováno v:
SALVE. 2022, Issue 1, p179-189. 11p.
Akademický článek
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Autor:
Khosrawi-Rad, Bijan, Grogorick, Linda, Keller, Paul Felix, Schlimbach, Ricarda, Di Maria, Marco, Robra-Bissantz, Susanne
Digital Education: Gamification F.1
From point 1 Introduction: Pedagogical conversational agents (PCAs) are intelligent dialog systems that interact with their users in natural language (Hobert & Meyer von Wolf, 2019). Intelligent dialog systems
From point 1 Introduction: Pedagogical conversational agents (PCAs) are intelligent dialog systems that interact with their users in natural language (Hobert & Meyer von Wolf, 2019). Intelligent dialog systems
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A94133
https://tud.qucosa.de/api/qucosa%3A94133/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A94133/attachment/ATT-0/
Publikováno v:
E-learning and Education, Vol 15, Iss 2 (2023)
Virtual worlds (VWs) have been present in higher education for more than a decade but have regained substantial traction in recent years as a result of COVID-19 and the metaverse hype. Nonetheless, facilitating peer exchange and social interaction in
Externí odkaz:
https://doaj.org/article/f1b0ae8c4b49453597f9035ae83d99de
Autor:
Rupe, Adam, Kumar, Nalini, Epifanov, Vladislav, Kashinath, Karthik, Pavlyk, Oleksandr, Schlimbach, Frank, Patwary, Mostofa, Maidanov, Sergey, Lee, Victor, Prabhat, Crutchfield, James P.
Extracting actionable insight from complex unlabeled scientific data is an open challenge and key to unlocking data-driven discovery in science. Complementary and alternative to supervised machine learning approaches, unsupervised physics-based metho
Externí odkaz:
http://arxiv.org/abs/1909.11822
Autor:
Schlimbach, Ricarda1 ricarda.schlimbach@hochschule-heilbronn.de, Khosrawi-Rad, Bijan2 b.khosrawi-rad@tu-bs.de, Grogorick, Linda2 l-grogorick@tu-bs.de, Becker, Felix2 felix.becker@tu-bs.de, Strohmann, Timo2 t.strohmann@tu-bs.de, Siemon, Dominik3 dominik.siemon@lut.fi, Robra-Bissantz, Susanne2 s.robra-bissantz@tu-bs.de
Publikováno v:
Journal of Information Systems Education. Summer2023, Vol. 34 Issue 3, p333-346. 14p.