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Listar por palabra clave "Feature extraction"

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A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents

Colomer Granero, Adrián; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Guixeres Provinciale, Jaime; Ausin-Azofra, Jose Manuel; Alcañiz Raya, Mariano Luis (Frontiers Media, 2016-07-15)

This work focuses on finding the most discriminatory or representative features that allow to classify commercials according to negative, neutral and positive effectiveness based on the Ace Score index. For this purpose, ...
A feature extraction software tool for agricultural object-based image analysis

Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Fernández-Sarría, Alfonso; Hermosilla, T. (Elsevier, 2011-05-01)

A software application for automatic descriptive feature extraction from image-objects, FETEX 2.0, is presented and described in this paper. The input data include a multispectral high resolution digital image and a vector ...
A supervised machine learning technique for combustion diagnosis using a vibration sensor signal

Pla Moreno, Benjamín; De La Morena, Joaquín; Bares-Moreno, Pau; Aramburu-Orihuela, Alexandra (Elsevier, 2023-07-01)

[EN] Machine learning (ML) techniques are increasingly spreading in the automotive area. The advantage of using data-based algorithms is evidenced in the study of complex nonlinear phenomena, such as engine combustion. An ...
Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

Vicente Robledo, Javier; Fuster García, Elíes; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Davies, Nigel; Natarajan, Kal; Wilson, Martin; Grundy, Richard G.; Wesseling, Pieter; Monleón, Daniel; Celda, Bernardo; Robles, Montserrat; Peet, Andrew C. (Elsevier, 2013-02)

Aims: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain tumours in a multi-national study. Our hypotheses are (1) that automated cla ...
Análisis y procesado tecnológico del modelo sólido de una pieza para determinar sus elementos característicos de mecanizado

Gutiérrez Rubert, Santiago Carlos (Universitat Politècnica de València, 2008-05-07)

Una de las primeras etapas en la Planificación de Procesos asistida por ordenador, para procesos de mecanizado por arranque de material, consiste en identificar las zonas de material a eliminar en el bruto de partida para ...
Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial

González, Roberto; Barrientos, Antonio; Toapanta, Marcelo; Cerro, Jaime del (Universitat Politècnica de València, 2017-11-08)

[ES] Los enfermos de Párkinson (EP) y de temblor esencial (TE) suponen un porcentaje importante de la casuística clínica en los trastornos del movimiento, que impiden a los sujetos afectados el llevar una vida normal, ...
Assessing contextual descriptive features for plot-based classification of urban areas

Hermosilla, T.; Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Cambra López, María (Elsevier, 2012-05-15)

A methodology for mapping urban land-use types integrating information from multiple data sources (high spatial resolution imagery, LiDAR data, and cadastral plots) is presented. A large set of complementary descriptive ...
Automated feature extraction for planning state representation

Sapena Vercher, Oscar; Onaindia De La Rivaherrera, Eva; Marzal Calatayud, Eliseo Jorge (Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA), 2024-12)

[EN] Deep learning methods have recently emerged as a mechanism for generating embeddings of planning states without the need to predefine feature spaces. In this work, we advocate for an automated, cost-effective and ...
Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques

Rodríguez-Sotelo, Jose Luis; Osorio-Forero, Alejandro; Jiménez-Rodríguez, Alejandro; Cuesta Frau, David; Cirugeda Roldán, Eva María; Peluffo, Diego (MDPI, 2014)

Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages. There is a scientific agreement on the ...
Caracterización de los cambios en la actividad uterina ante el parto inminente mediante análisis univariado y bivariado del magnetomiograma

Quijada López, María (Universitat Politècnica de València, 2020-09-15)

[ES] El conocimiento actual que se posee sobre los principales mecanismos que se desencadenan durante el parto y los distintos cambios anatómicos y fisiológicos que ocurren durante el periodo de embarazo presenta un ...
Clasificación automática de registros ECG para la detección de Fibrilación Auricular y otros ritmos cardiacos

Jiménez Serrano, Santiago (Universitat Politècnica de València, 2018-10-23)

[ES] La importancia clínica de las arritmias cardiacas está aumentando, junto con su incidencia y prevalencia, principalmente asociadas con el envejecimiento de la población. Entre estas enfermedades destaca la Fibrilación ...
Clasificación y detección de errores en piezas para inspección industrial

Del Tejo Catalá, Omar (Universitat Politècnica de València, 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 ...
Classification of TV Commercials using feature extractions and machine learning

Jarry, Viktor (Universitat Politècnica de València, 2015-10-01)

Machine Learning is a famous field of computer science nowadays. The research on this subject has grown since the last decade and the area of possibilities is infinite. This paper is about the classification of a commercial ...
Classification Predictive Model for Air Leak Detection in Endoworm Enteroscopy System

Zazo-Manzaneque, Roberto; Pons-Beltrán, Vicente; Vidaurre, Ana; Santonja, Alberto; Sánchez-Diaz, Carlos (MDPI AG, 2022-07)

[EN] Current enteroscopy techniques present complications that are intended to be improved with the development of a new semi-automatic device called Endoworm. It consists of two different types of inflatable cavities. For ...
Description and validation of a new set of object-based temporal geostatistical features for land-use/land-cover change detection

Gil Yepes, José Luis; Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Balaguer Beser, Ángel Antonio; Hermosilla Gómez, Txomin (Elsevier, 2016-11)

[EN] A new set of temporal features derived from codispersion and cross-semivariogram geostatistical functions is proposed, described, extracted, and evaluated for object-based land-use/land-cover change detection using ...
Detection of Uniform Gearbox Wear in Induction Motors based on the Analysis of Stray Flux Signals through Statistical Time-Domain Features and Dimensionality Reduction Techniques

Zamudio-Ramirez, Israel; Saucedo-Dorantes, Juan Jose; Antonino-Daviu, José Alfonso; Osornio-Rios, Roque Alfredo; Dunai, Larisa (Institute of Electrical and Electronics Engineers, 2022-08)

[EN] Gearboxes are core elements in power transmission systems, although gearboxes are reliable and high-efficiency components, the occurrence of different faults is frequent since they are often subjected to adverse ...
Diseño y desarrollo de un método de superresolución en imágenes de RM usando Deep Learning

Andreu Vilarroig, Carlos (Universitat Politècnica de València, 2019-07-30)

[ES] La enfermedad de Alzheimer (EA) es una de las enfermedades neurodegenerativas que mayor prevalencia presenta en la población de edad avanzada. A pesar de que la etiología aún es desconocida, un diagnóstico precoz es ...
Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra

Luts, Jan; Poullet, Jean-Baptiste; Garcia-Gomez, Juan M; Heerschap, Arend; Robles, Montserrat; Suykens, Johan A.K.; Van Huffel, Sabine (John Wiley & Sons, 2008-08)

[EN] This study examines the effect of feature extraction methods prior to automated pattern recognition based on magnetic resonance spectroscopy (MRS) for brain tumor diagnosis. Since individual inspection of spectra is ...
Efficient Fire Segmentation for Internet-of-Things-Assisted Intelligent Transportation Systems

Muhammad, Khan; Ullah, Hayat; Khan, Salman; Hijji, Mohammad; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2023-11)

[EN] Rapid developments in deep learning (DL) and the Internet-of-Things (IoT) have enabled vision-based systems to efficiently detect fires at their early stage and avoid massive disasters. Implementing such IoT-driven ...
Elaboración de una herramienta de extracción de información de textos manuscritos

Langdon Villamayor, Ángel (Universitat Politècnica de València, 2022-09-05)

[ES] La gestión de documentos manuscritos es un proceso costoso que consume muchos recursos en las entidades que gestionan una gran cantidad de estos. El objetivo de este proyecto es realizar una herramienta de digitalización, ...