Browsing by Author "Salazar Afanador, Addisson"

A Multisensor System for Road Surface Identification

Safont, Gonzalo; Salazar Afanador, Addisson; Rodríguez, Alberto; Vergara Domínguez, Luís (IEEE, 2019-12-07)

[EN] This work introduces a multisensor road surface identification system that considers features from four different kind of sensors: microphones, accelerometers, speed signals, and handwheel signals. Features are extracted ...

A new method for fraud detection in credit cards based on transaction dynamics in subspaces

Salazar Afanador, Addisson; Safont, Gonzalo; Vergara Domínguez, Luís (IEEE, 2019-12-07)

[EN] This paper presents a new method for fraud detection in credit cards based on exploiting the dynamics of the card transactions. We hypothesize different behavior models in the use of the card between legitimate clients ...

A New Surrogating Algorithm by the Complex Graph Fourier Transform (CGFT)

Belda, Jordi; Vergara Domínguez, Luís; Safont Armero, Gonzalo; Salazar Afanador, Addisson; Parcheta, Zuzanna (MDPI AG, 2019-08)

[EN] The essential step of surrogating algorithms is phase randomizing the Fourier transform while preserving the original spectrum amplitude before computing the inverse Fourier transform. In this paper, we propose a new ...

A Study of Deep Learning Methods for Image Classification

Xinyu, Li (Universitat Politècnica de València, 2022-05-10)

[ES] En este proyecto se implementarán métodos de aprendizaje profundo basados en redes neuronales convolucionales (CNN) para problemas de clasificación de imágenes. El aprendizaje profundo (AP) es un enfoque ...

A Study of Feature Selection Methods for Classification

Liu, Chenyu (Universitat Politècnica de València, 2022-05-10)

[ES] En este proyecto se implementarán varias técnicas de selección de características que se aplican para mejorar el rendimiento de la clasificación automática. Se analizarán varios problemas de clasificación de un ...

Analysis of split-spectrum algorithms in an automatic detection framework

Rodríguez Martínez, Alberto; Salazar Afanador, Addisson; Vergara Domínguez, Luís (Elsevier, 2012-09)

In this paper we study the problem of automatic detection of ultrasonic echo pulses in a grain noise background considering split-spectrum (SS) algorithms as sub-optimum solutions. First, SS algorithms are reformulated ...

Aplicación de la descomposición tiempo-frecuencia multinivel a fMRI para la estimación de la red de conectividad cerebral: diagnóstico de esquizofrenia

Jinglun, Pan (Universitat Politècnica de València, 2020-10-19)

[ES] Este proyecto implementará la descomposición tiempo-frecuencia multinivel para analizar datos de resonancia magnética funcional (fMRI) para apoyar el diagnóstico de la enfermedad de esquizofrenia (EE). La representación ...

Aplicación de señales VHF y UHF para la evaluación de muros históricos

Safont Armero, Gonzalo; Salazar Afanador, Addisson; Gosálbez Castillo, Jorge; Vergara Domínguez, Luís (Orvisa Comunicaciones, 2011)

Application of independent component analysis for evaluation of ashlar masonry walls

Salazar Afanador, Addisson; Safont Armero, Gonzalo; Vergara Domínguez, Luís (Springer Verlag (Germany), 2011)

[EN] This paper presents a novel application of Independent Component Analysis (ICA) to the evaluation of ashlar masonry walls inspected with Ground Penetrating Radar (GPR). ICA is used as preprocessor to eliminate ...

Application of non-destructive evaluation and signal processing for diagnosis of historic heritage buildings

Gosálbez Castillo, Jorge; Salazar Afanador, Addisson; Safont Armero, Gonzalo; Bosch Roig, Ignacio; Miralles Ricós, Ramón; Vergara Domínguez, Luís; Albert Pérez, Vicente (Instituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM), 2011)

[EN] In this work, signal processing techniques are combined with non-destructive evaluation (NDE) to evaluate the capability for detecting defects in historic walls. To join this aim, ashlar masonry walls of 3x2x0.2m ...

Assessment of historic structures based on GPR, ultrasound, and impact-echo data fusion

Safont Armero, Gonzalo; Salazar Afanador, Addisson; Vergara Domínguez, Luís; Vidal Maciá, Antonio Manuel; Gonzalez, Alberto (Trans Tech Publications, 2013)

[EN] This paper presents a method for assessment of historic structures based on the fusion of data from ground-penetrating radar (GPR), ultrasound, and impact-echo testing. The method consists of the following ...

Automatic simultaneous measurement of phase velocity and thickness in composite plates using iterative deconvolution

Rodriguez Martinez, Alberto; Svilainis, L.; Dumbrava, V.; Chaziachmetovas, A.; Salazar Afanador, Addisson (Elsevier, 2014-09)

A new method for the automatic and simultaneous measurement of phase velocity and thickness for thin composite plates was developed based on Ping He's method, without any need of a priori knowledge of the material parameters. ...

Clasificación cronológica de cerámicas arqueológicas aplicando análisis ultrasónico

Parra Crego, Ángela; Salazar Afanador, Addisson; Domenech Carbo, Mª Teresa; Vergara Domínguez, Luís (Instituto Universitario de Restauración del Patrimonio de la UPV, 2007)

Este artículo presenta un nuevo procedimiento para la clasificación cronológica (datación relativa) o por tipología de cerámicas arqueológicas mediante análisis no destructivo por ultrasonidos. El método aporta ventajas ...

Clasificación y predicción basada en mezclas de analizadores de componentes independientes

Serrano Cartagena, Arturo (Universitat Politècnica de València, 2011-09-29)

[ES] El procesado estadístico de señal clásico se basa en explotar información de segundo orden. Desde la perspectiva de optimización (detección y estimación óptima), los estadísticos de segundo orden son estadísticos ...

Combinación de múltiples detectores para identificación/autenticación biométrica basada en electroencefalogramas

Safont Armero, Gonzalo; Salazar Afanador, Addisson; Rodriguez Martinez, Alberto; Vergara Domínguez, Luís (2014)

[EN] Las señales electroencefalográficas (EEG) producidas por el cerebro humano en reposo son únicas para cada sujeto, permitiendo diferenciarlo de otros. Esta unicidad es explotada en este artículo, que presenta un método ...

Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing

Belda, Jordi; Vergara Domínguez, Luís; Safont Armero, Gonzalo; Salazar Afanador, Addisson (MDPI AG, 2019-01)

[EN] Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian case, in particular to independent component analysis (ICA) models of the observed multivariate samples. Thus, the usual methods ...

Data fusion of ultrasound and GPR signals for analysis of historic walls

Salazar Afanador, Addisson; Gosálbez Castillo, Jorge; Safont Armero, Gonzalo; Vergara Domínguez, Luís (IOP Publishing: Conference Series, 2012)

[EN] This paper presents an application of ultrasounds and ground-penetrating radar (GPR) for analysis of historic walls. The objectives are to characterize the deformation of a historic wall under ...

Effect of exploitation and exploration on the innovative as outcomes in entrepreneurial firms

Vargas-Mendoza, Nancy Yaneth; Lloria, M. Begoña; Salazar Afanador, Addisson; Vergara Domínguez, Luís (Springer-Verlag, 2018-12)

[EN] The main aim of this study is to establish the effect of the Exploitation and Exploration; and the influence of these learning flows on the Innovative Outcome (IO). The Innovative Outcome refers to new products, ...

Estimación de la red de conectividad cerebral basada en la correlación y la coherencia espectral a partir de fMRI para apoyar el diagnóstico de Alzheimer

Sang, Yuling (Universitat Politècnica de València, 2020-10-19)

[ES] Este proyecto implementará varias técnicas (correlación y coherencia espectral) para analizar datos de imágenes de resonancia magnética funcional (fMRI) para apoyar el diagnóstico de la enfermedad de Alzheimer (EA). ...

Estimating the Laplacian matrix of Gaussian mixtures for signal processing on graphs

Belda, Jordi; Vergara Domínguez, Luís; Salazar Afanador, Addisson; Safont Armero, Gonzalo (Elsevier, 2018)

[EN] Recent works in signal processing on graphs have been driven to estimate the precision matrix and to use it as the graph Laplacian matrix. The normalized elements of the precision matrix are the partial correlation ...

Browsing by Author "Salazar Afanador, Addisson"

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Browsing by Author "Salazar Afanador, Addisson"