Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Claudomiro Sales"'
Autor:
Manoel Afonso Pereira de Lima, Claudomiro Sales, Adam Santos, Reginaldo Santos, Moisés Silva, João Costa, Marissa Carvalho, Michell Cruz
Publikováno v:
Revista Brasileira de Computação Aplicada, Vol 8, Iss 2, Pp 129-143 (2016)
Structural Health Monitoring (SHM) is an important technique used to preserve many types of structures in the short and long run, using sensor networks to continuously gather the desired data. However, this causes a strong impact in the data size to
Externí odkaz:
https://doaj.org/article/36030763bbf548bf9f2854ebd9e5dca0
Publikováno v:
Journal of Communication and Information Systems. 37:61-76
Publikováno v:
Anais do XXIX Workshop sobre Educação em Computação (WEI 2021).
Este artigo apresenta o desenvolvimento de uma análise automática com os microdados do ENADE para o curso de Ciência da Computação. O objetivo é fornecer informações que possam ser úteis para diretores e coordenadores que queiram melhorar a
Publikováno v:
Expert Systems with Applications. 128:225-245
Clustering algorithms usually assume that the number K of clusters is known, although there is often no prior knowledge about the underlying set. Consequently, the significance of the defined groups needs to be validated. Cluster validity indexes are
Autor:
Adam Santos, Claudomiro Sales, Moisés Silva, João C. W. A. Costa, Gilvan Borges, Reginaldo Santos
Publikováno v:
Swarm and Evolutionary Computation. 48:312-328
This paper investigates whether rotational variance and information exchange affect the performance of Particle Swarm Optimization (PSO) algorithms. Four PSO versions which include the presence or absence of rotational variance, and the fast or late
Autor:
Reginaldo Santos, Caio Flexa, Moises Batista da Silva, Igor Moreira, Walisson Gomes, Claudomiro Sales
Publikováno v:
Intelligent Systems ISBN: 9783030917012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d0839b32e688c6e8afd0b88751133f8
https://doi.org/10.1007/978-3-030-91702-9_14
https://doi.org/10.1007/978-3-030-91702-9_14
Publikováno v:
Intelligent Systems ISBN: 9783030613792
BRACIS (2)
BRACIS (2)
Visualizing multidimensional Big Data is defying: high dimensionalities hinder or even preclude visual inspections. A means of tackling this issue is to use DR (Dimensionality Reduction) techniques, producing low-dimensional representations of high-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01be68de69f4b961e5f90dcec1e60ffa
https://doi.org/10.1007/978-3-030-61380-8_20
https://doi.org/10.1007/978-3-030-61380-8_20
Autor:
Claudomiro Sales, Adam Santos, Reginaldo Santos, Eloi Figueiredo, João C. W. A. Costa, Moisés Silva
Publikováno v:
Structural Health Monitoring. 18:1444-1463
The structural health monitoring relies on the continuous observation of a dynamic system over time to identify its actual condition, detect abnormal behaviors, and predict future states. The regular changes in environmental factors have been reporte
Autor:
Gilvan Borges, Claudomiro Sales, Reginaldo Santos, João C. W. A. Costa, Moisés Silva, Adam Santos
Publikováno v:
Applied Soft Computing. 69:330-343
The deterministic optimization algorithms far outweigh the non-deterministic ones on unimodal functions. However, classical algorithms, such as gradient descent and Newton's method, are strongly dependent on the quality of the initial guess and easil
Publikováno v:
Expert Systems with Applications. 175:114741
Dimensionality Reduction (DR) is useful to understand high-dimensional data. It attracts wide attention from industry and academia and is employed in areas such as machine learning, data mining, and pattern recognition. This work presents a geometric