Zobrazeno 1 - 10
of 134
pro vyhledávání: '"A.J. Silva-Neto"'
Autor:
A.J. Silva Neto, Wagner Rambaldi Telles, Gustavo Bastos Lyra, Fábio Freitas Ferreira, M. De O. Temperini
Publikováno v:
Trends in Computational and Applied Mathematics. 22:265-278
In academia, the study of the movement of water in the ground has been widespread since the last century. The same can be determined using the Richards equation. This is a nonlinear parabolic partial differential equation that requires parameters to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a25c4f896738a34172945d0f07051d4
https://doi.org/10.5540/tcam.2021.022.02.00265
https://doi.org/10.5540/tcam.2021.022.02.00265
Autor:
A.J. Silva Neto, Wagner Rambaldi Telles, J. L. Souza, Gustavo Bastos Lyra, Joana Madeira Krieger, Fábio Freitas Ferreira
Publikováno v:
Trends in Computational and Applied Mathematics. 22:325-340
The simulation of terrestrial ecosystem processes, using numerical biosphere-atmosphere models that can be coupled to the Atmospheric Models, assist in a better diagnosis and forecast of climate and weather. To be able to represent a particular regio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c11e471d9a9a582dca4a3d856b5a7653
https://doi.org/10.5540/tcam.2021.022.02.00325
https://doi.org/10.5540/tcam.2021.022.02.00325
Publikováno v:
Trends in Computational and Applied Mathematics. 22:91-107
Different types of mathematical models have been used to predict the dynamic behavior of the novel coronavirus (COVID-19). Many of them involve the formulation and solution of inverse problems. This kind of problem is generally carried out by conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a186c693c31200077eedbfd3277564a5
https://doi.org/10.5540/tcam.2021.022.01.00091
https://doi.org/10.5540/tcam.2021.022.01.00091
Publikováno v:
Applied Mathematical Modelling. 82:587-606
In the present work, the formulation and solution of the inverse problem of structural damage identification is presented based on the Bayesian inference, a powerful approach that has been widely used for the formulation of inverse problems in a stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ef6921b150ad7d62de01bb9d10a1114
https://doi.org/10.1016/j.apm.2020.01.021
https://doi.org/10.1016/j.apm.2020.01.021
Autor:
Edna N. Yamasaki, Maria Manuela Fraga Juliano, A.J. Silva Neto, Pedro Paulo Gomes Watts Rodrigues, Ioannis Kyriakides, Jader Lugon
Publikováno v:
DESALINATION AND WATER TREATMENT. 194:315-323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e217f540110ca6a579a70532f669e13
https://doi.org/10.5004/dwt.2020.25819
https://doi.org/10.5004/dwt.2020.25819
Publikováno v:
Shock and Vibration, Vol 19, Iss 3, Pp 301-321 (2012)
The formulation and solution of the inverse problem of damage identification based on wave propagation approach are presented. Different damage scenarios for a bar are considered. Time history responses, obtained from pulse-echo synthetic experiments
Externí odkaz:
https://doaj.org/article/5de19e428e5a4d5f8129931519313c1e
Akademický článek
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Autor:
A.J. Silva-Neto, Orestes Llanes-Santiago, S.C. Gálvez-Viera, B.C. Rivero-Benedico, R. Torres-Cabeza, E.F. Rodríguez-Morant
Publikováno v:
Revista Mexicana de Ingeniería Química. 18:83-98
In this paper, the problem of fault diagnosis in complex industrial systems in the presence of missing data is addressed. Firstly, how to perform online imputation when there are missing values in the observations obtained by the data acquisition sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc75b2e34321ae79f9d4b53854073ef7
https://doi.org/10.24275/uam/izt/dcbi/revmexingquim/2019v18n1/llanes
https://doi.org/10.24275/uam/izt/dcbi/revmexingquim/2019v18n1/llanes
Autor:
Orestes Llanes-Santiago, Alberto Prieto-Moreno, J.M. Bernal-de Lázaro, A.J. Silva-Neto, A. del Castillo-Serpa
Publikováno v:
Neurocomputing. 275:636-648
The design of robust data-based fault diagnostic systems can be formulated in terms of classification tasks. A diagnostic classifier designed to effectively minimize the false and missing alarm rates resulting from noise, uncertainty, and unknown dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cab990cf8e6a46d67f5c6954c83eb01
https://doi.org/10.1016/j.neucom.2017.09.021
https://doi.org/10.1016/j.neucom.2017.09.021
Akademický článek
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