Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Franziska Geiger"'
Autor:
Nico Schumacher, Franziska Geiger, Sascha Spors, Rainer Bader, Christian Haubelt, Daniel Kluess
Publikováno v:
Sensors, Vol 24, Iss 14, p 4594 (2024)
Accurate detection of implant loosening is crucial for early intervention in total hip replacements, but current imaging methods lack sensitivity and specificity. Vibration methods, already successful in dentistry, represent a promising approach. In
Externí odkaz:
https://doaj.org/article/0c9b6ccd823f431b9fa368317296a2ad
Publikováno v:
Technologies, Vol 12, Iss 4, p 51 (2024)
Resultant hip joint forces can currently only be recorded in situ in a laboratory setting using instrumented total hip replacements (THRs) equipped with strain gauges. However, permanent recording is important for monitoring the structural condition
Externí odkaz:
https://doaj.org/article/a11aecf4fac24ae6a747613310063339
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3854 (2023)
Diabetes-adapted insoles are essential in prevention and rehabilitation of foot ulcers in diabetic foot syndrome. However, their manufacture is labour-intensive and costly. Therefore, the study aims to present an alternative method that allows the in
Externí odkaz:
https://doaj.org/article/b9932f74a2ad48d4a102c3172a848dee
Autor:
Tiago Reis Marques, Joel Dapello, James J. DiCarlo, Franziska Geiger, Martin Schrimpf, David D. Cox
Current state-of-the-art object recognition models are largely based on convolutional neural network (CNN) architectures, which are loosely inspired by the primate visual system. However, these CNNs can be fooled by imperceptibly small, explicitly cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::303ace8db465db55af3ebe907fe6d71d
https://doi.org/10.1101/2020.06.16.154542
https://doi.org/10.1101/2020.06.16.154542
After training on large datasets, certain deep neural networks are surprisingly good models of the neural mechanisms of adult primate visual object recognition. Nevertheless, these models are poor models of the development of the visual system becaus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bd1afda8ba8f85c1ad5e1e5d77960df
https://doi.org/10.1101/2020.06.08.140111
https://doi.org/10.1101/2020.06.08.140111
Autor:
Rishi Rajalingham, Franziska Geiger, Jonas Kubilius, Elias B. Issa, Daniel L. K. Yamins, James J. DiCarlo, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, Jonathan Prescott-Roy, Martin Schrimpf, Ha Hong, Najib J. Majaj
Publikováno v:
bioRxiv
The internal representations of early deep artificial neural networks (ANNs) were found to be remarkably similar to the internal neural representations measured experimentally in the primate brain. Here we ask, as deep ANNs have continued to evolve,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1b42092a55a2757f322c2543160abc
https://doi.org/10.1101/407007
https://doi.org/10.1101/407007
Autor:
Markus Sosnowski, Manuel Götz, Franziska Geiger, Björn Bittner, Michelle Martin, Martin Keppner, Tobias Beeh, Elisabeth André, Ilhan Aslan
Commuting by car can be stressful, especially unexpected traffic jams may result in feelings of loss of control and social disconnectedness. In this paper, we present Traeddy, a teddy bear augmented with embedded technology, which serves as a wellbei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f42b1b70ae4cdfd4f7bc060b0d3ee9b8
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/49201
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/49201