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Controlabilidade em redes complexas
(Universidade Tecnológica Federal do ParanáCuritibaDepartamento Acadêmico de Informática, 2014-09-09)
During the last 25 years, research related to complex systems brought new perspectives and methodologies to the study of social and natural phenomena. From the economic network formed by large corporations, to the dynamics ...
Supervised Pattern Classification Based on Optimum-Path Forest
(John Wiley & Sons IncHobokenEUA, 2009)
AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
(Ieee, 2011-01-01)
Automatic MR-image segmentation of brain tissues is an important issue in neuroimaging. For instance, it is a key methodological component of a popular technique denominated voxel-based morphometry (VBM), which quantifies ...
An efficient parallel implementation for training supervised optimum-path forest classifiers
(2020-06-14)
In this work, we propose and analyze parallel training algorithms for the Optimum-Path Forest (OPF) classifier. We start with a naïve parallelization approach where, following traditional sequential training that considers ...
Search for reaction pathways with P graphs and reaction blocks: methanation of carbon dioxide with hydrogen
(Springer, 2018)
The effects of carbon dioxide in the atmosphere can be reduced by closing anthropogenic cycles, and the methanation of carbon dioxide with hydrogen provides a promising option. Nevertheless, the reaction mechanism of this ...
Search for reaction pathways with P-graphs and reaction blocks: methanation of carbon dioxide with hydrogen
(Springer International Publishing, 2018)
The effects of carbon dioxide in the atmosphere can be reduced by closing
anthropogenic cycles, and the methanation of carbon dioxide with hydrogen provides
a promising option. Nevertheless, the reaction mechanism of ...
Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. Studies in Computational Intelligence
(Springer, Cham, 2020-11)
Path planning is an essential task in autonomous mobile robotics that demands to navigate following a minimum-cost path, which involves partitioning the landscape in nodes and the use of combinatorial optimization methods ...
Part of the studies in computational intelligence book series
(Springer, Cham, 2020-11-07)
Path planning is an essential task in autonomous mobile robotics that demands to navigate following a minimum-cost path, which involves partitioning the landscape in nodes and the use of combinatorial optimization methods ...
Simple and efficient bi-objective search algorithms via fast dominance checks
(2023-01)
Many interesting search problems can be formulated as bi-objective search problems, that is, search problems where two kinds of costs have to be minimized, for example, travel distance and time for transportation problems. ...