Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Robert, Muller"'
Publikováno v:
JMIR Pediatrics and Parenting, Vol 5, Iss 2, p e34425 (2022)
BackgroundThe internet has become an increasingly popular medium for parents to obtain health information. More studies investigating the impact of paid digital marketing campaigns for parents on promoting children’s healthy development are needed.
Externí odkaz:
https://doaj.org/article/f314f688ec8f41518988ab7e968a86ab
Autor:
Naveed Iqbal, Jian Luo, Christian Schneider, Diego Andres Dupleich, Robert Muller, Stephan Hafner, Reiner S. Thoma
Publikováno v:
IEEE Access, Vol 7, Pp 180073-180082 (2019)
In this paper, impact of antenna directivity and bandwidth on the small scale fading statistics have been analyzed for millimeter-wave (mmWave) radio channels. For this purpose, small-scale fading measurements at the mmWave frequency band (58-62 GHz)
Externí odkaz:
https://doaj.org/article/7c94d1fb019742f19027d93d10959f8a
Autor:
Mate Boban, Diego Dupleich, Naveed Iqbal, Jian Luo, Christian Schneider, Robert Muller, Ziming Yu, David Steer, Tommi Jamsa, Jian Li, Reiner S. Thoma
Publikováno v:
IEEE Access, Vol 7, Pp 9724-9735 (2019)
Vehicle-to-vehicle (V2V) channels exhibit unique properties due to the highly dynamic environment and low elevation of the antennas at both ends of the link. Of particular importance for the behavior of V2V channels, and consequent reliability of the
Externí odkaz:
https://doaj.org/article/fcef4c7f3fee49f48e047a920ddcb833
Autor:
Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Muller, Gregoire Montavon
Publikováno v:
IEEE Signal Processing Magazine. 39:40-58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d66a6496cee2b8fa49cffc3d9cf8a9d5
https://doi.org/10.1109/msp.2022.3153277
https://doi.org/10.1109/msp.2022.3153277
Publikováno v:
Journal of Clinical and Translational Science, Vol 5, Pp 8-8 (2021)
ABSTRACT IMPACT: Brain networks can be explored by delivering brief pulses of electrical current in one area while measuring responses in other areas, and this describes an open-source novel algorithm to carry out this exploration. OBJECTIVES/GOALS:
Externí odkaz:
https://doaj.org/article/266b82670aee46fdb1f5ee9cf3402951
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 20, Iss 1, Pp 19-25 (2016)
Background: The timing of most recurrences after neonatal urinary tract infection is during the first year of life, with peak incidence 2–6 months after the initial infection. Information on the microbiologic characteristics of recurrent urinary tr
Externí odkaz:
https://doaj.org/article/e2517f32aa59427ca8a628705687665a
Autor:
Jacob Kauffmann, Malte Esders, Lukas Ruff, Gregoire Montavon, Wojciech Samek, Klaus-Robert Muller
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
A recent trend in machine learning has been to enrich learned models with the ability to explain their own predictions. The emerging field of Explainable AI (XAI) has so far mainly focused on supervised learning, in particular, deep neural network cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae90cce9c401aef0b6bbf868ab710b52
https://doi.org/10.1109/tnnls.2022.3185901
https://doi.org/10.1109/tnnls.2022.3185901
Autor:
Tazrina Jahan Chowdhury, Paul Arbon, Mayumi Kako, Robert Muller, Malinda Steenkamp, Kristine Gebbie
Publikováno v:
January 2022. :72-77
Globally, disasters disrupt human lives and women tend to be more vulnerable during such events. This narrative review explores women’s experiences during disasters and identifies common factors increasing their vulnerability. After critical readin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef57726c7338705028acb9e82152857e
https://doi.org/10.47389/37.1.72
https://doi.org/10.47389/37.1.72
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Domain translation is the task of finding correspondence between two domains. Several deep neural network (DNN) models, e.g., CycleGAN and cross-lingual language models, have shown remarkable successes on this task under the unsupervised setting--the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cc43b6aa1ddb10831e1a80bfe75b5cb
https://doi.org/10.1109/tnnls.2022.3145812
https://doi.org/10.1109/tnnls.2022.3145812
Publikováno v:
IEEE Signal Processing Magazine. 39:5-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ebde1b0013b1ce7c20ec9ae25e29e03
https://doi.org/10.1109/msp.2022.3170665
https://doi.org/10.1109/msp.2022.3170665