Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marcos Almeida do Amaral"'
Publikováno v:
Revista Eletrônica Competências Digitais para Agricultura Familiar, Vol 7, Iss 1, Pp 91-119 (2021)
The transformations resulting from industry 4.0 also impacted agriculture, being designated as Agriculture 4.0, responsible for using monitoring technologies in plantations. However, family farming still does not exhibit the usage of existing technol
Externí odkaz:
https://doaj.org/article/3c956ff44c674aabb3b89f59db08fe2b
Autor:
Míriam Tvrzská de Gouvêa, Maria Thereza de Moraes Gomes Rosa, Lara Caroline Ramos, Marcos Almeida do Amaral, Gabriel Gomes de Oliveira, Daniela Helena Pelegrine Guimarães
Publikováno v:
Brazilian Journal of Development. 7:29593-29614
A diversificacao da matriz energetica e essencial para paises em desenvolvimento, uma vez que contribui com o desenvolvimento de novas tecnologias e com a preservacao do meio ambiente. Por ser um pais tropical, o Brasil possui alto indice de radiacao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb230716cdab567f44be94a54c7c07f
https://doi.org/10.34117/bjdv7n3-599
https://doi.org/10.34117/bjdv7n3-599
Autor:
Marcos Almeida do Amaral, Alessandra Cristina Santos Akkari, Maria Thereza de Moraes Gomes Rosa, Karina Fernandes de Oliveira, Daniela Helena Pelegrine Guimarães, Juliana Souza Ciesla
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea28e4ac8d0586322ca011124afb5efe
https://doi.org/10.34117/bjdv5n10-113
https://doi.org/10.34117/bjdv5n10-113
Publikováno v:
Proceedings of the 5th Brazilian Technology Symposium ISBN: 9783030575472
This article has the goal of analyzing scientific studies about the Internet of Everything (IoE) and, under the security information concepts, understanding the relationship between then. With this objective, this article identifies researches, model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66c29c6153f2dbaff56af403b77b5ea1
https://doi.org/10.1007/978-3-030-57548-9_49
https://doi.org/10.1007/978-3-030-57548-9_49
Autor:
Daniela Helena Pelegrine Guimarães, Maria Thereza de Moraes Gomes Rosa, Juliana Souza Ciesla, Marcos Almeida do Amaral, Alessandra Cristina Santos Akkari
Publikováno v:
Tópicos em Administração – Volume 24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d29abf0da99c7cb2c41ecbe28c110650
https://doi.org/10.36229/978-85-7042-149-4.cap.01
https://doi.org/10.36229/978-85-7042-149-4.cap.01
Autor:
João Carlos Gabriel, Yuzo Iano, Luiz Vicente Figueira de Mello Filho, Marcos Almeida do Amaral
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c1e698e5a683e7e32b5b571b2c6bbcc
https://doi.org/10.4271/2018-36-0263
https://doi.org/10.4271/2018-36-0263
Publikováno v:
IFAC Proceedings Volumes. 42:126-131
In this paper we extend an estimation technique based on Viterbi algorithm for discrete-time chaotic signals immersed in noise. The proposed modification allows for orbits generated by maps with nonuniform invariant density to be estimated. This modi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d50ed0890b1ef11228b4eaede8a9bbf4
https://doi.org/10.3182/20090706-3-fr-2004.00021
https://doi.org/10.3182/20090706-3-fr-2004.00021
Publikováno v:
Scopus-Elsevier
In this paper we compare two techniques applied to the estimation of discrete-time one-dimensional chaotic orbits: the maximum likelihood estimation and the modified Viterbi algorithm. As the second one performs better, it is used in two digital modu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9df76435e7d9b1e8d948c72809db1d43
http://www.scopus.com/inward/record.url?eid=2-s2.0-79960959546&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79960959546&partnerID=MN8TOARS