Zobrazeno 1 - 10
of 524
pro vyhledávání: '"Liebschner A"'
Autor:
Schemmer, Max, Bartos, Andrea, Spitzer, Philipp, Hemmer, Patrick, Kühl, Niklas, Liebschner, Jonas, Satzger, Gerhard
Publikováno v:
International Conference on Information Systems (ICIS 2023)
The true potential of human-AI collaboration lies in exploiting the complementary capabilities of humans and AI to achieve a joint performance superior to that of the individual AI or human, i.e., to achieve complementary team performance (CTP). To r
Externí odkaz:
http://arxiv.org/abs/2310.02108
Autor:
Fang, Xi, Kim, Daeseung, Xu, Xuanang, Kuang, Tianshu, Lampen, Nathan, Lee, Jungwook, Deng, Hannah H., Gateno, Jaime, Liebschner, Michael A. K., Xia, James J., Yan, Pingkun
In CMF surgery, the planning of bony movement to achieve a desired facial outcome is a challenging task. Current bone driven approaches focus on normalizing the bone with the expectation that the facial appearance will be corrected accordingly. Howev
Externí odkaz:
http://arxiv.org/abs/2307.10954
Autor:
Fang, Xi, Kim, Daeseung, Xu, Xuanang, Kuang, Tianshu, Deng, Hannah H., Barber, Joshua C., Lampen, Nathan, Gateno, Jaime, Liebschner, Michael A. K., Xia, James J., Yan, Pingkun
Simulating facial appearance change following bony movement is a critical step in orthognathic surgical planning for patients with jaw deformities. Conventional biomechanics-based methods such as the finite-element method (FEM) are labor intensive an
Externí odkaz:
http://arxiv.org/abs/2210.01685
Autor:
Benninger, Moritz1 (AUTHOR) moritz.benninger@hs-aalen.de, Liebschner, Marcus1 (AUTHOR) marcus.liebschner@hs-aalen.de
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 15, p3723. 21p.
Autor:
Fang, Xi, Kim, Daeseung, Xu, Xuanang, Kuang, Tianshu, Lampen, Nathan, Lee, Jungwook, Deng, Hannah H., Liebschner, Michael A.K., Xia, James J., Gateno, Jaime, Yan, Pingkun
Publikováno v:
In Medical Image Analysis April 2024 93
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2023, Vol. 42, Issue 4, pp. 878-892.
Autor:
Moritz Benninger, Marcus Liebschner
Publikováno v:
Energies, Vol 17, Iss 15, p 3723 (2024)
This paper addresses the further development and optimization of a modeling- and machine learning-based framework for early fault detection and diagnosis in induction motors. The goal behind the multi-level framework is to provide a pragmatic and pra
Externí odkaz:
https://doaj.org/article/503aa6542c03467b9eb5d69d678902d7
Autor:
Bothmann, Enrico, Chahal, Gurpreet Singh, Höche, Stefan, Krause, Johannes, Krauss, Frank, Kuttimalai, Silvan, Liebschner, Sebastian, Napoletano, Davide, Schönherr, Marek, Schulz, Holger, Schumann, Steffen, Siegert, Frank
Publikováno v:
SciPost Phys. 7, 034 (2019)
Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarize essential features and improvements of the Sherpa 2.2 release series, which is heavily used for event
Externí odkaz:
http://arxiv.org/abs/1905.09127
Autor:
William R. Reed, Michael A. K. Liebschner, Carla R. Lima, Harshvardhan Singh, Christopher P. Hurt, Daniel F. Martins, James M. Cox, Maruti R. Gudavalli
Publikováno v:
Chiropractic & Manual Therapies, Vol 30, Iss 1, Pp 1-11 (2022)
Abstract Background The intervertebral disc is a known back pain generator and is frequently the focus of spinal manipulative therapy evaluation and treatment. The majority of our current knowledge regarding intradiscal pressure (IDP) changes related
Externí odkaz:
https://doaj.org/article/ab8529466f0842f7b11a4e8583db4e7a
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