Zobrazeno 1 - 10
of 249
pro vyhledávání: '"Burth P"'
Autor:
Kauê Francisco Corrêa de Souza e Souza, Vitor Won-Held Rabelo, Paula Alvarez Abreu, Cláudio César Cirne Santos, Nayane Abreu do Amaral e Silva, Daniela de Luna, Vitor Francisco Ferreira, Bernardo Ferreira Braz, Ricardo Erthal Santelli, Cassiano Felippe Gonçalves-de-Albuquerque, Izabel Christina Nunes de Palmer Paixão, Patricia Burth
Publikováno v:
ACS Omega, Vol 9, Iss 34, Pp 36835-36846 (2024)
Externí odkaz:
https://doaj.org/article/7f730c88e4fb4e02bb7919d986b84f41
Recent works have shown that modern machine learning techniques can provide an alternative approach to the long-standing joint source-channel coding (JSCC) problem. Very promising initial results, superior to popular digital schemes that utilize sepa
Externí odkaz:
http://arxiv.org/abs/2206.08100
Autor:
Younes-Ibrahim M., Buffin-Meyer B., Cheval L., Burth P., Castro-Faria M.V., Barlet-Bas C., Marsy S., Doucet A.
Publikováno v:
Brazilian Journal of Medical and Biological Research, Vol 30, Iss 2, Pp 213-223 (1997)
On the basis of our report that a glycolipoprotein fraction (GLP) extracted from Leptospira interrogans contains a potent inhibitor of renal Na,K-ATPase, we proposed that GLP-induced inhibition of Na,K-ATPase might be the primary cellular defect in t
Externí odkaz:
https://doaj.org/article/29bef6a6789e470280715688101bd983
Using Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification. However, using gradient descent to train evolved architectures during the search can be comput
Externí odkaz:
http://arxiv.org/abs/2201.12896
Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques. Very promising results in end-to-end image quality, superior to popular digital schemes that utilize source and chann
Externí odkaz:
http://arxiv.org/abs/2111.13042
Autor:
Sina Burth, Jan Meis, Dorothea Kronsteiner, Helena Heckhausen, Klaus Zweckberger, Meinhard Kieser, Wolfgang Wick, Christian Ulfert, Markus Möhlenbruch, Peter Ringleb, Silvia Schönenberger
Publikováno v:
Neurological Research and Practice, Vol 5, Iss 1, Pp 1-10 (2023)
Abstract As a complication of subarachnoid hemorrhage (SAH), vasospasm substantially contributes to its morbidity and mortality. We aimed at analyzing predictors of outcome for these patients including the role of endovascular treatment (ET). Our dat
Externí odkaz:
https://doaj.org/article/5fbde33157f94a4d8df7fdb63eac12c2
Autor:
Adriana Ribeiro Silva, Kauê Franscisco Correa de Souza e Souza, Thamires Bandeira De Souza, Mauricio Younes-Ibrahim, Patrícia Burth, Hugo Caire de Castro Faria Neto, Cassiano Felippe Gonçalves-de-Albuquerque
Publikováno v:
Frontiers in Immunology, Vol 14 (2024)
Acute respiratory distress syndrome (ARDS) is marked by damage to the capillary endothelium and alveolar epithelium following edema formation and cell infiltration. Currently, there are no effective treatments for severe ARDS. Pathologies such as sep
Externí odkaz:
https://doaj.org/article/1352a9ba8308452ab1defb4e038df458
Autor:
Gunduz, Deniz, Kurka, David Burth, Jankowski, Mikolaj, Amiri, Mohammad Mohammadi, Ozfatura, Emre, Sreekumar, Sreejith
Bringing the success of modern machine learning (ML) techniques to mobile devices can enable many new services and businesses, but also poses significant technical and research challenges. Two factors that are critical for the success of ML algorithm
Externí odkaz:
http://arxiv.org/abs/2009.13269
Autor:
Kurka, David Burth, Gündüz, Deniz
We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which images are transmitted progressively in layers over time or frequency, and such layers can be
Externí odkaz:
http://arxiv.org/abs/2009.12480
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