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The multiscale hybrid-mixed (MHM) method consists of a multi-level strategy to approximate the solution of boundary value problems with heterogeneous coefficients. In this context, we propose a family of low-order finite elements for the linear elast
Externí odkaz:
http://arxiv.org/abs/2403.16890
Autor:
Rosa, Caroline de Oliveira Costa Souza, Ito, Márcia, Vieira, Alex Borges, Wehmuth, Klaus, Gomes, Antônio Tadeu Azevedo
The automatic discovery of a model to represent the history of encounters of a group of patients with the healthcare system -- the so-called "pathway of patients" -- is a new field of research that supports clinical and organisational decisions to im
Externí odkaz:
http://arxiv.org/abs/2309.14208
Physics-Informed Neural Networks (PINNs) are machine learning tools that approximate the solution of general partial differential equations (PDEs) by adding them in some form as terms of the loss/cost function of a Neural Network. Most pieces of work
Externí odkaz:
http://arxiv.org/abs/2208.12559
Autor:
Rosa, Caroline de Oliveira Costa Souza, Ito, Marcia, Vieira, Alex Borges, Gomes, Antonio Tadeu Azevedo
The sequence of visits and procedures performed by the patient in the health system, also known as the patient's pathway or trajectory, can reveal important information about the clinical treatment adopted and the health service provided. The rise of
Externí odkaz:
http://arxiv.org/abs/2206.01980
Autor:
Giusti, Lucas, Carvalho, Leonardo, Gomes, Antonio Tadeu, Coutinho, Rafaelli, Soares, Jorge, Ogasawara, Eduardo
Flight delays impose challenges that impact any flight transportation system. Predicting when they are going to occur is an important way to mitigate this issue. However, the behavior of the flight delay system varies through time. This phenomenon is
Externí odkaz:
http://arxiv.org/abs/2104.01720
The family of Multiscale Hybrid-Mixed (MHM) finite element methods has received considerable attention from the mathematics and engineering community in the last few years. The MHM methods allow solving highly heterogeneous problems on coarse meshes
Externí odkaz:
http://arxiv.org/abs/1703.10435
Autor:
Ocaña, Kary A.C.S., Galheigo, Marcelo, Osthoff, Carla, Gadelha, Luiz M.R., Jr., Porto, Fabio, Gomes, Antônio Tadeu A., de Oliveira, Daniel, Vasconcelos, Ana Tereza
Publikováno v:
In Future Generation Computer Systems June 2020 107:192-214
Akademický článek
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In this paper we present OSC, a scientific workflow specification language based on software architecture principles. In contrast with other approaches, OSC employs connectors as first-class constructs. In this way, we leverage reusability and compos
Externí odkaz:
http://arxiv.org/abs/1304.5099
The analysis of large-scale complex networks is a major challenge in the Big Data domain. Given the large-scale of the complex networks researchers commonly deal with nowadays, the use of localized information (i.e. restricted to a limited neighborho
Externí odkaz:
http://arxiv.org/abs/1108.1067