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Macromolecule Particle Picking and Segmentation of a KLH Database by Unsupervised Cryo-EM Image Processing
(Facultad de Medicina y Ciencia, 2019)
Segmentation is one of the most important stages in the 3D reconstruction of macromolecule structures in cryo-electron microscopy. Due to the variability of macromolecules and the low signal-to-noise ratio of the structures ...
What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
Multi-class particle swarm model selection for automatic image annotation
(Elsevier Ltd., 2012)
New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
Although nontechnical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy and to characterize possible illegal ...
New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection
(Institute of Electrical and Electronics Engineers (IEEE), 2012-01-01)
Although nontechnical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy and to characterize possible illegal ...
New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection
(Institute of Electrical and Electronics Engineers (IEEE), 2012-01-01)
Although nontechnical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy and to characterize possible illegal ...
New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Supervised classification of basaltic aggregate particles based on texture properties
(American Society of Civil Engineers - ASCEReston, 2013-03)
The strength and durability of materials produced from aggregates (e.g., concrete bricks, concrete, and ballast) are critically affected by the weathering of the particles, which is closely related to their mineral ...