Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Sergio Galdino"'
Autor:
Antônio H. de C. Teixeira, Carlos R. Padovani, Ricardo G. Andrade, Janice F. Leivas, Daniel de C. Victoria, Sergio Galdino
Publikováno v:
Remote Sensing, Vol 7, Iss 11, Pp 14597-14619 (2015)
MODIS images during the year 2012 were used for modelling of the radiation and energy balance components with the application of the SAFER algorithm (Simple Algorithm for Evapotranspiration Retrieving) in the Brazilian Pantanal area. Pixels from the
Externí odkaz:
https://doaj.org/article/4f6ca8c575ab442f82cc230ce81c03e4
Autor:
Sergio Galdino, Jornandes Dias
Publikováno v:
2021 International Conference on Engineering and Emerging Technologies (ICEET).
Autor:
Jornandes Dias, Sergio Galdino
Publikováno v:
2021 International Conference on Engineering and Emerging Technologies (ICEET).
Autor:
Sergio Galdino, Paulo Maciel
Publikováno v:
LA-CCI
Weight Pair Group Average Mean clustering is one of several methods of agglomerative hierarchical clustering. It is a very popular method for computing hierarchical clusterings. Currently, clustering methods rely dissimilarity measures for interval-v
Autor:
Sergio Galdino, Paulo Maciel
Publikováno v:
LA-CCI
In this paper, we deal with hierarchical clustering for interval-valued data. Interval-valued data is typical of symbolic data. We propose hierarchical clustering for interval-valued using Width of Range Euclidean Distance, and apply this methods to
Autor:
Wellington Pinheiro dos Santos, Cesare Valenti, Sergio Galdino, Orazio Gambino, Vincenzo Conti
Publikováno v:
Journal of Healthcare Engineering, Vol 2019 (2019)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selected by a ri
Autor:
Sergio Galdino
Publikováno v:
SMC
This paper introduces a new approach to Data Clustering on interval-valued data. Nowadays dissimilarity measures for interval-valued data uses representative point distance. It was defined the Range City Block metric. Interval-valued input distance m
Autor:
Sergio Galdino
Publikováno v:
Open Journal of Applied Sciences. :108-111
We present an overview of approaches to selfvalidating one-dimensional integration quadrature formulas and a verified numerical integration algorithm with an adaptive strategy. The new interval integration adaptive algorithm delivers a desired integr
Autor:
Gustavo Callou, Jose Paulo Xavier Pires, Bruno Silva, Virgilio Almeida, Carlos Araújo, Paulo Maciel, Ratnesh Sharma, Manish Marwah, Amip J. Shah, Tom Christian, Erica Souza, Sergio Galdino
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 37:64-68
Data center availability is critical considering the explosive growth in Internet services and people's dependence on them. Furthermore, in recent years, sustainability has become important. However, data center designers have little information on t
Autor:
Francisco Monte, Sergio Galdino
Publikováno v:
Advances in Swarm and Computational Intelligence ISBN: 9783319204680
ICSI (3)
ICSI (3)
Simulation with input uncertainties using stochastic Petri nets (SPN) takes into account the effects of uncertainties in exponential transition rates when calculating performance indices. The proposed simulation method, using interval arithmetic, all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2458fcbb75a9d32ef7fd6bb5bacd967
https://doi.org/10.1007/978-3-319-20469-7_22
https://doi.org/10.1007/978-3-319-20469-7_22