Zobrazeno 1 - 10
of 16
pro vyhledávání: '"María Vela-Pérez"'
Autor:
Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia-Expósito, Jose M. López-López, María Vela-Pérez
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4196 (2020)
Most item-shopping websites give people the opportunity to express their thoughts and opinions on items available for purchasing. This information often includes both ratings and text reviews expressing somehow their tastes and can be used to predict
Externí odkaz:
https://doaj.org/article/3d51ee5711b44a55a88fb2e6e5393b20
Autor:
Marek Bodnar, María Vela Pérez
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 72:552-564
Gliomas are the most frequent type of primary brain tumour. Low-grade gliomas (LGGs) in particular are infiltrative and incurable with a slow evolution that eventually causes death. In this paper, we propose a mathematical model for the growth of LGG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8c8f1a784581924e1e6af17015da8c2
https://doi.org/10.1016/j.cnsns.2019.01.015
https://doi.org/10.1016/j.cnsns.2019.01.015
Publikováno v:
Communications in Nonlinear Science & Numerical Simulation
E-Prints Complutense. Archivo Institucional de la UCM
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E-Prints Complutense. Archivo Institucional de la UCM
instname
The continuous mutation of SARS-CoV-2 opens the possibility of the appearance of new variants of the virus with important differences in its spreading characteristics, mortality rates, etc. On 14 December 2020, the United Kingdom reported a potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b2dc24dcf3996c0787dadef7603274b
https://pubmed.ncbi.nlm.nih.gov/34188432
https://pubmed.ncbi.nlm.nih.gov/34188432
Publikováno v:
Physica D. Nonlinear Phenomena
E-Prints Complutense. Archivo Institucional de la UCM
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E-Prints Complutense. Archivo Institucional de la UCM
instname
Since the start of the COVID-19 pandemic in China many models have appeared in the literature, trying to simulate its dynamics. Focusing on modeling the biological and sociological mechanisms which influence the disease spread, the basic reference ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::655b090468d5c031cbcf62aa6fe71d52
https://eprints.ucm.es/id/eprint/74929/
https://eprints.ucm.es/id/eprint/74929/
Publikováno v:
Mathematical Biosciences. 285:14-24
Several models have been proposed to describe the behavior of ants when moving from nest to food sources. Most of these studies where based on numerical simulations with no mathematical justification. In this paper, we propose a mechanism for the for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94330c63a8825ea1b2562c01905d6cd7
https://doi.org/10.1016/j.mbs.2016.12.002
https://doi.org/10.1016/j.mbs.2016.12.002
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
instname
Communications in Nonlinear Science & Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
instname
Communications in Nonlinear Science & Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Highlights • Mathematical model for coronavirus disease that fits well the spread in China • New θ-SEIHRD model taking into account undetected infections • Validation of the model with the reported data on China • Estimation of errors when i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7301bf299195cae7390a6b374f768d51
https://doi.org/10.1016/j.cnsns.2020.105303
https://doi.org/10.1016/j.cnsns.2020.105303
Publikováno v:
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Universidad Europea (UEM)
In this paper we propose a model for the formation of paths in Argentine ants when foraging in an empty arena. Based on experimental observations, we provide a distribution for the random change in direction that they approximately undergo while fora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84856b645834b6f22e99371a3c876192
https://doi.org/10.1016/j.mbs.2015.01.007
https://doi.org/10.1016/j.mbs.2015.01.007
Autor:
María Vela-Pérez, Juan Luis Peñaloza Figueroa, Gregorio Tirado Domínguez, Adolfo Hernández-Estrada, María Elena Martínez Rodríguez
Publikováno v:
EDULEARN proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee069107bd8a7547ac872bfadc487b9
https://doi.org/10.21125/edulearn.2017.1241
https://doi.org/10.21125/edulearn.2017.1241
Publikováno v:
ICPRAM
Scopus-Elsevier
Scopus-Elsevier
The rapid proliferation of social network services (SNS) gives people the opportunity to express their thoughts, opinions, and tastes on a wide variety of subjects such as movies or commercial items. Most item shopping websites currently provide SNS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfad6ecc30a596312e869322ed226997
https://doi.org/10.5220/0006209602330238
https://doi.org/10.5220/0006209602330238
Publikováno v:
International Journal of Bifurcation and Chaos. 20:877-883
We define a new concept, a hyperstructure, which is related to networks and hypernetworks and allows us to represent real problems. We also define the efficiency of this hyperstructure and we apply it to an example.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab02d546117947f19508308232c94d2
https://doi.org/10.1142/s0218127410026162
https://doi.org/10.1142/s0218127410026162