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pro vyhledávání: '"Silva, Vanessa"'
In recent years, there has been a surge in the prevalence of high- and multi-dimensional temporal data across various scientific disciplines. These datasets are characterized by their vast size and challenging potential for analysis. Such data typica
Externí odkaz:
http://arxiv.org/abs/2311.11849
Autor:
Neto, Gregório Silva, Silva, Vanessa
Publikováno v:
Published in the Journal of Mathematical Analysis and Applications, Volume 528, Issue 2, 2023
In this paper, we classify the nondegenerate ruled surfaces in the three-dimensional Lorentz-Minkowski space that are translating solitons for the inverse mean curvature flow. In particular, we prove the existence of non-cylindrical ruled translating
Externí odkaz:
http://arxiv.org/abs/2308.11457
Autor:
Neto, Gregório Silva, Silva, Vanessa
In this paper, we classify the nondegenerate ruled surfaces in the three-dimensional Lorentz-Minkowski space that are homothetic self-similar solutions for the inverse mean curvature flow. This classification shows the existence of two classes of non
Externí odkaz:
http://arxiv.org/abs/2308.11679
Autor:
da Silva, Vanessa Telles, Ribeiro, Lucas de Angelo Martins, de Lemos, Willian Borges, Botelho, Sílvia Silva da Costa, Filho, Nelson Lopes Duarte, Pias, Marcelo Rita
The architecture, engineering and construction (AEC) sector extensively uses documents supporting product and process development. As part of this, organisations should handle big data of hundreds, or even thousands, of technical documents strongly l
Externí odkaz:
http://arxiv.org/abs/2302.08905
Understanding the properties of time-indexed multivariate data has been a predominant topic mainly to address open issues in multivariate time series analysis. Usually, the methodologies used to analyze multivariate time series are based on adapting
Externí odkaz:
http://arxiv.org/abs/2301.02333
Autor:
Bobermin, Larissa Daniele, da Costa, Daniele Schauren, de Moraes, Aline Daniel Moreira, da Silva, Vanessa Fernanda, de Oliveira, Giancarlo Tomazzoni, Sesterheim, Patrícia, Tramontina, Ana Carolina, Basso, Luiz Augusto, Leipnitz, Guilhian, Quincozes-Santos, André, Gonçalves, Carlos-Alberto
Publikováno v:
In Biochimie August 2024 223:196-205
Publikováno v:
In Future Foods June 2024 9
Publikováno v:
In Mechanisms of Ageing and Development June 2024 219
There is nowadays a constant flux of data being generated and collected in all types of real world systems. These data sets are often indexed by time, space or both requiring appropriate approaches to analyze the data. In univariate settings, time se
Externí odkaz:
http://arxiv.org/abs/2110.09887
Being able to capture the characteristics of a time series with a feature vector is a very important task with a multitude of applications, such as classification, clustering or forecasting. Usually, the features are obtained from linear and nonlinea
Externí odkaz:
http://arxiv.org/abs/2110.09888