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of 848
pro vyhledávání: '"Cuomo, S."'
Artificial Neuronal Networks are models widely used for many scientific tasks. One of the well-known field of application is the approximation of high-dimensional problems via Deep Learning. In the present paper we investigate the Deep Learning techn
Externí odkaz:
http://arxiv.org/abs/2110.02112
Autor:
Frau, J, Mulasso, A, Coghe, G, Melis, M, Beratto, L, Cuomo, S, Lorefice, L, Fenu, G, Cocco, E
Publikováno v:
In Multiple Sclerosis and Related Disorders November 2023 79
Publikováno v:
In Materials Today: Proceedings 2021 34 Part 1:164-170
Publikováno v:
In Journal of Computational and Applied Mathematics 15 December 2020 380
Publikováno v:
In Journal of Volcanology and Geothermal Research 15 January 2020 390
Computational kernel of the three-dimensional variational data assimilation (3D-Var) problem is a linear system, generally solved by means of an iterative method. The most costly part of each iterative step is a matrix-vector product with a very larg
Externí odkaz:
http://arxiv.org/abs/1405.3468
We propose an improvement of an oceanographic three dimensional variational assimilation scheme (3D-VAR), named OceanVar, by introducing a recursive filter (RF) with the third order of accuracy (3rd-RF), instead of a RF with first order of accuracy (
Externí odkaz:
http://arxiv.org/abs/1404.5756
Publikováno v:
In Computers and Electrical Engineering May 2019 75:262-274
Publikováno v:
Frontiers in Applied Mathematics and Statistics. 9
IntroductionBrain perfusion-weighted images obtained through dynamic contrast studies play a critical and clinical role in diagnosis and treatment decisions. However, due to the patient's limited exposure to radiation, computed magnetic resonance ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a760f1a8211911c3e174514ac79ee31b
https://doi.org/10.3389/fams.2023.1041750
https://doi.org/10.3389/fams.2023.1041750