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Routine libraries for pattern recognition in quasispecies.
(2008-12-01)
The results obtained through biological research usually need to be analyzed using computational tools, since manual analysis becomes unfeasible due to the complexity and size of these results. For instance, the study of ...
Reconocimiento de formas con un correladoróptico aplicado a imágenes desenfocadas: invariancia por medio de la selección y fusión de bandas
(Revista Mexicana de Física, 2009)
Evaluation of Pattern Recognition Algorithms for Applications on Power Factor Compensation
(2018-02-01)
This paper assesses different applied pattern recognition algorithms to decide the most appropriate power factor compensator for a particular point of common coupling. Power factor, current unbalance factor, total demand ...
SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
(Sociedad Chilena de Química, 2008)
Screening Brazilian Commercial Gasoline Quality by ASTM D6733 GC and Pattern-Recognition Multivariate SIMCA Chemometric Analysis
(Vieweg, 2009-04-01)
The combination of ASTM D6733 gas chromatographic fingerprinting data with pattern-recognition multivariate soft independent modeling of class analogy (SIMCA) chemometric analysis provides an original and alternative ...
GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies
(Vieweg, 2009-10-01)
ASTM D6729 gas chromatographic fingerprinting coupled to pattern-recognition multivariate soft independent modeling of class analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening ...
Pattern recognition theory in nonlinear signal processing
(Kluwer Academic Publ, 2002-05-01)
A body of research has developed within the context of nonlinear signal and image processing that deals with the automatic, statistical design of digital window-based filters. Based on pairs of ideal and observed signals, ...
A NILM Dataset for Cognitive Meters Based on Conservative Power Theory and Pattern Recognition Techniques
(2018-12-15)
This paper presents a novel dataset capable of classifying and disaggregating residential appliances for the development of smart or cognitive power meters. This novel dataset uses power indicators (also denoted as conformity ...
A recursive patterns matching model for the dynamic pattern recognition problem
(Applied Artificial IntelligenceReino Unido, 2018-06-04)
This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition ...
A recursive patterns matching model for the dynamic pattern recognition problem
(Applied Artificial IntelligenceReino Unido, 2018-06-04)
This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition ...