Browsing by Subject "Neural networks"

A computer based system to design expressive avatars

Diego-Mas, Jose Antonio; Alcaide Marzal, Jorge (Elsevier, 2015-03)

Avatars are used in different contexts and situations: e-commerce, e-therapy, virtual worlds, videogames,collaborative online design... In this context, a good design of an avatar may improve the user experience. The ability ...

A potentiometric electronic tongue for the discrimination of honey according to the botanical origin. Comparison with traditional methodologies: Physicochemical parameters and volatile profile

Escriche Roberto, Mª Isabel; Kadar, Melinda Andreea; Doménech Antich, Eva Mª; Gil Sánchez, Luís (Elsevier, 2012-04)

[EN] The effectiveness of a potentiometric electronic tongue, made of various metals and metallic compounds was evaluated for the differentiation of honey in three different states: raw, liquefied and pasteurized. Principal ...

Adaptación de skip-gramas a modelos conexionistas del lenguaje

Palacios Corella, Adrián (2015-07-17)

[EN] In this work we will focus on the development of language models using connectionist techniques. The most relevant contribution in this work is the adaptation of skip-grams techniques to neural network language models. ...

Algoritmos genéticos para la selección de redes neuronales

Zaytseva, Valeriya (2015-03-02)

[EN] In this work genetic algorithms applied to select neural networks The neural networks then used to predict store customers position.

Algoritmos Wavenet con Aplicaciones en la Aproximación de Señales: un Estudio Comparativo

Domínguez Mayorga, C.R.; Espejel Rivera, M.A.; Ramos Velasco, L.E.; Ramos Fernández, J.C.; Escamilla Hernández, E. (Universitat Politècnica de València, 2012-10-14)

[ES] En este trabajo de investigación se aplican métodos adaptables en el diseño de algoritmos computacionales, dichos algoritmos emplean redes neuronales y series de wavelets para construir “neuroaproximadores” wavenets. ...

An Embedded Simplified Fuzzy ARTMAP Implemented on a Microcontroller for Food Classification

Garcia-Breijo, Eduardo; Garrigues Baixauli, José; Gil Sánchez, Luís; Laguarda-Miro, Nicolas (MDPI, 2013-08)

In the present study, a portable system based on a microcontroller has been developed to classify different kinds of honeys. In order to do this classification, a Simplified Fuzzy ARTMAP network (SFA) implemented in a ...

Análisis de imágenes médicas de cerebro para dar soporte al diagnóstico

Nadal Almela, Silvia (2019-09-19)

[CA] Durant aquest projecte s’ha treballat amb imatges mèdiques disponibles gràcies a la col·laboració entre el centre d’investigació Pattern Recognition and Human Language Technology –PRHLT– i la Fundació per al Foment ...

Análisis de imágenes médicas del ojo humano para dar soporte al diagnóstico

Grafiá Pérez, Álvaro (2019-09-18)

[ES] El soporte al personal sanitario mediante el uso del aprendizaje profundo ya es una realidad, dando unos resultados sobresalientes en diferentes aspectos de la sanidad. Este trabajo muestra la eficacia con la que ...

Análisis de las prestaciones del entorno de deep learning TensorFlow

Rodríguez Alepuz, Sergio (2018-09-11)

[VAL] Els sistemes d’aprenentatge automàtic —i, en concret, els models d’aprenentatge profund (del anglés, deep learning) o xarxes neuronals— s’han popularitzat recentment a causa de que han suposat un salt qualitatiu ...

Application of radial basis functions compared to neural networks to predict air pollution

Capilla, Carmen (WIT Press, 2015)

This paper studies the application of radial basis functions to predict nitrogen oxides 24 hours in advance. The forecast interval was chosen for practical regulatory reasons. The two study areas are in Valencia (Spain), ...

Argument-based agreements in agent societies

Heras Barberá, Stella María; Botti Navarro, Vicente Juan; Julian Inglada, Vicente Javier (Elsevier, 2012-01)

In this paper, we present an abstract argumentation framework for the support of agreement processes in agent societies. It takes into account arguments, attacks among them, and the social context of the agents that put ...

Artificial neural network onto eight bit microcontroller for Secchi depth calculation

Ibáñez Civera, Francisco Javier; García Breijo, Eduardo; Laguarda Miró, Nicolás; Gil Sánchez, Luís; Garrigues Baixauli, José; Romero Gil, Inmaculada; Masot Peris, Rafael; Alcañiz Fillol, Miguel (Elsevier, 2011-08-10)

In this paper we present a model to predict Secchi depth in water bodies by means of an artificial neural network application onto eight bit microcontroller. Water turbidity data were collected by both a Secchi disk and a ...

Assesment of a 4-input artificial neural network for ETo etimation through data set scanning

Martí Pérez, Pau Carles; Manzano Juarez, Juan; Royuela, Alvaro (Springer Verlag (Germany), 2011-05)

Evapotranspiration is a complex and non-linear phenomenon that depends on the interaction of several climatic parameters. As an alternative to traditional techniques, artificial neural networks (ANNs) are highly appropriate ...

Automatic Fault Diagnostic System for Induction Motors under Transient Regime Optimized with Expert Systems

Burriel-Valencia, Jordi; Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Pineda-Sanchez, Manuel; Pérez-Cruz, Juan; Riera-Guasp, Martín (MDPI AG, 2019-01)

[EN] Induction machines (IMs) power most modern industrial processes (induction motors) and generate an increasing portion of our electricity (doubly fed induction generators). A continuous monitoring of the machine's ...

Caracterización de los estilos de conducción mediante smartphones, dispositivos obd-ii y redes neuronales

Meseguer Anastasio, Javier Enrique (2013-02-12)

[ES] Los objetivos de esta tesina de Máster son el diseño e implementación de una plataforma en la que se pueda realizar, mediante minería de datos, estudios sobre los estilos de conducción de los usuarios. A partir de la ...

Clasificación y detección de errores en piezas para inspección industrial

Del Tejo Catalá, Omar (2020-06-23)

[ES] Se presenta una comparativa entre distintos métodos para la extracción de características de un conjunto de piezas industriales. El objetivo de estas características es entrenar un algoritmo de clasificación con rechazo ...

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

Lopez-Martin, Manuel; Carro, Belén; Sánchez-Esguevillas, Antonio; Lloret, Jaime (MDPI AG, 2017)

[EN] The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host's network. In current networks, such systems are becoming more important as the ...

Control IMC No Lineal Tolerante a Fallos

Saludes Rodil, Sergio; Fuente, M. J. (Universitat Politècnica de València, 2009-12-02)

[ES] Este artículo trata sobre el control IMC no lineal y un método para hacerlo tolerante a los fallos en la planta. El control IMC no lineal se consigue por medio de modelos no lineales de la planta y de la inversa de ...

Controlador predictivo neuro-genético

Aguado, Alberto; Gómez, Alfredo; del Pozo, Abelardo (Universitat Politècnica de València, 2007-11-07)

[EN] In this paper, it is presented a solution to the model based non linear predictive control which differs from other approaches in the use of a neural model as predictor and a specially designed genetic algorithm as ...

Cross-view Embeddings for Information Retrieval

Gupta, Parth Alokkumar (2017-03-03)

In this dissertation, we deal with the cross-view tasks related to information retrieval using embedding methods. We study existing methodologies and propose new methods to overcome their limitations. We formally introduce ...

Browsing by Subject "Neural networks"

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Browsing by Subject "Neural networks"