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pro vyhledávání: '"Mateus Hiro Nagata"'
Autor:
J. G. M. Souza, Pedro Henrique Melo Albuquerque, Yaohao Peng, H. Kimura, Igor Ferreira do Nascimento, A. R. Nascimento, Mateus Hiro Nagata, T. Nagata
Publikováno v:
Modeling, Control and Drug Development for COVID-19 Outbreak Prevention ISBN: 9783030728335
In this chapter, we analyzed the impacts of the COVID-19 outbreak in Brazil, one of the most severely affected countries by the pandemic in the world. We discussed the overall characteristics of the pathogen (SARS-CoV-2) and its diffusion in Brazil o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adfe526eb7246d158e8ec3dcfc3d7c45
https://doi.org/10.1007/978-3-030-72834-2_20
https://doi.org/10.1007/978-3-030-72834-2_20
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 559:125035
We suggest a solution to the problem of truncation of truncated Levy flights by deductively finding a power law between the truncation length and its standard deviation. We offer a generalization where the pdf of returns is left unknown, and its dist
Autor:
Mateus Hiro Nagata, Yaohao Peng
Publikováno v:
Chaos, Solitons, and Fractals
Highlights • We applied support vector machine for COVID-19 data from twelve countries • We tested different structures of nonlinearity using five Kernel functions • Empirical results indicated overfitting for the Gaussian Kernel • The linear