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Documentos Académicos-- M. en Ciencias del Proc. de la Info.: Envíos recientes

Mostrando ítems 41-60 de 172

Identification of diabetic patients through clinical and para-clinical features in Mexico: an approach using deep neural networks

Alcalá Ramírez, Vanessa; Zanella Calzada, Laura Alejandra; Galván Tejada, Carlos Eric; García Hernández, Alejandra; Crúz López, Miguel; Valladares Salgado, Adan; Galván Tejada, Jorge Issac; Gamboa Rosales, Hamurabi (MDPI, 2019-01-10)

Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important ...
A Case–Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups, Considered as Public Health Problem: Data from NHANES 2013–2014

Zanella Calzada, Laura Alejandra; Galván Tejada, Carlos Eric; Chávez Lamas, Nubia; Gracia Cortés, María del Carmen; Moreno Báez, Arturo; Arceo Olague, José Guadalupe; Celaya Padilla, José María; Galván Tejada, Jorge Issac; Gamboa Rosales, Hamurabi (MDPI, 2018-04-25)

One of the principal conditions that affects oral health worldwide is dental caries, occurring in about 90% of the global population. This pathology has been considered a challenge because of its high prevalence, besides ...
A generalized model for indoor location estimation using environmental sound from human activity recognition

Galván Tejada, Carlos Eric; López Monteagudo, Francisco Eneldo; Alonso González, Omero; Galván Tejada, Jorge Issac; Celaya Padilla, José María; Gamboa Rosales, Hamurabi; Magallanes Quintanar, Rafael; Zanella Calzada, Laura Alejandra (MDPI, 2018-03-10)

The indoor location of individuals is a key contextual variable for commercial and assisted location-based services and applications. Commercial centers and medical buildings (eg, hospitals) require location information ...
Multi-view stacking for activity recognition with sound and accelerometer data

García Ceja, Enrique; Galván Tejada, Carlos Eric; Brena, Ramón (Elsevier, 2018-03-10)

Many Ambient Intelligence (AmI) systems rely on automatic human activity recognition for getting crucial context information, so that they can provide personalized services based on the current users’ state. Activity ...
Multivariate feature selection of image descriptors data for breast cancer with computer-assisted diagnosis

Galván Tejada, Carlos Eric; Zanella Calzada, Laura Alejandra; Galván Tejada, Jorge Issac; Celaya Padilla, José María; Gamboa Rosales, Hamurabi; Garza Veloz, Idalia; Martínez Fierro, Margarita de la Luz (MDPI, 2017-03-10)

Breast cancer is an important global health problem, and the most common type of cancer among women. Late diagnosis significantly decreases the survival rate of the patient; however, using mammography for early detection ...
Deep artificial neural networks for the diagnostic of caries using socioeconomic and nutritional features as determinants: Data from nhanes 2013–2014

Zanella Calzada, Laura Alejandra; Galván Tejada, Carlos Eric; Chávez Lamas, Nubia; Rivas Gutiérrez, Jesús; Magallanes Quintanar, Rafael; Celaya Padilla, José; Galván Tejada, Jorge; Gamboa Rosales, Hamurabi (MDPI, 2018-06-10)

Oral health represents an essential component in the quality of life of people, being a determinant factor in general health since it may affect the risk of suffering other conditions, such as chronic diseases. Oral diseases ...
Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients

Zanella Calzada, Laura Alejandra; Galván Tejada, Carlos Eric; Chávez Lamas, Nubia; Gracia Cortés, Ma. del Carmen; Magallanes Quintanar, Rafael; Celaya Padilla, José; Galván Tejada, Jorge; Gamboa Rosales, Hamurabi (MDPI, 2019-03-10)

Depression is a mental disorder characterized by recurrent sadness and loss of interest in the enjoyment of the positive aspects of life, in addition to fatigue, causing inability to perform daily activities, which leads ...
Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound

García Dominguez, Antonio; Galván Tejada, Carlos Eric; Zanella Calzada, Laura Alejandra; Gamboa Rosales, Hamurabi; Galván Tejada, Jorge; Luna García, Huizilopoztli; Magallanes Quintanar, Rafael (Hindawi, 2020-01-10)

In the area of recognition and classification of children activities, numerous works have been proposed that make use of different data sources. In most of them, sensors embedded in children’s garments are used. In this ...
Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks

Galván Tejada, Carlos Eric; Zanella Calzada, Laura Alejandra; García Dominguez, Antonio; Magallanes Quintanar, Rafael; Luna García, Huizilopoztli; Celaya Padilla, José; Galván Tejada, Jorge; Vélez Rodríguez, Alberto; Gamboa Rosales, Hamurabi (MDPI, 2020-04-14)

Estimation of indoor location represents an interesting research topic since it is a main contextual variable for location bases services (LBS), eHealth applications and commercial systems, among others. For instance, ...
Láser Raman para Terapia Láser

De la Rosa Vargas, José Ismael; Sifuentes Gallardo, Claudia; Araiza Esquivel, María Auxiliadora; Miramontes de León, Gerardo; Martínez Ríos, Alejandro; Mendoza Santoyo, Fernando; Villa Hernández, José de Jesús; De la Rosa Vargas, José Ismael; García Domínguez, Ernesto (Universidad Autónoma de Zacatecas, 2005-03)

Las fibras láser ofrecen grandes ventajas sobre otros tipos de láseres, por lo que en la actualidad los láseres de fibra son muy utilizados en áreas tales como: telecomunicaciones, procesado de materiales, procesamiento ...
Matlab Graphic user interface for image segmentation using Markov random fields and entropy estimation with parallel processing

Gutiérrez, Osvaldo; Serna Dominguez, Alejandro; De la Rosa Vargas, José Ismael; Villa Hernández, José de Jesús; González Ramírez, Efrén (IEEECONIELECOMP, 2014-02)

The paper presents a GUI interface for image segmentation using Bayesian-entropy estimation.
Detección de fuentes emisoras acústicas nocivas utilizando Matrix-Creator orientado al ecosistema marino

Zapata Cabral, Miriam Carolina; De la Rosa Vargas, José Ismael; González Ramírez, Efrén; Miramontes de León, Gerardo; Sustaita Torres, Ireri Aydée (CIO-Desarrollo Científico en México, 2019-04)

El trabajo se enfoca en desarrollar un sistema electrónico para la detección de fuentes acústicas, para monitoreo acústico pasivo y así poder aplicarlo al medio marino previendo ayuda a los mamíferos marinos, como los cetáceos.
Image restoration a comparative study of some methods applied to color images

Rodríguez Vázquez, Ángel; De la Rosa Vargas, José Ismael; Villa Hernández, José de Jesús; Araiza Esquivel, María Auxiliadora (IEEE, 2019-03)

The present work introduces five different methods to deal with digital image restoration. Particularly deconvolution by Richardson-Lucy method, Wiener filter, deconvolution with Gaussian priors in the frequency domain, ...
Comparación de técnicas de parametrización espectral para reconocimiento de voz en idioma español

Soto Murillo, Manuel Alejandro; De la Rosa Vargas, José Ismael; Morneo Báez, Arturo (Academia Journals, 2018-09)

En este artículo, se presenta una comparación de las técnicas clásicas de parametrización; Codificación Predictiva Lineal (LPC) y Coeficientes Cepstrales de Frecuencias-Mel (MFCC), implementadas en la etapa de extracción ...
Vadose zone hydraulic conductivity monitoring by using an arduino data acquisition system

Rodriguez Juárez, Pedro; Junes Ferrerira, Hugo; González Trinidad, Julian; De la Rosa Vargas, José Ismael; Galván Tejada, Carlos; Burnes, Susana (IEEE, 2018-02)

In this work the development of a continuous monitoring system for the hydraulic conductivity is presented. The system uses the measurement of temperatures in geological materials at different depths to calculate the wáter ...
Procesamiento de señales EEG de un niño con TEA al desarrollar actividades de lectoescritura: determinación de potencia y cronología de eventos

Esqueda Elizondo, José Jaime; De la Rosa Vargas, José Ismael; Bermúdez Encarnación, Enrique Guadalupe; Roa Rico, David Octavio; Gozález Vivas, Blanca Anjélica; González Ramírez, Erick Omar; Brito Calvo, Sara Jessica; López Quezada, Sarai; Solano Mendivil, Cecilia del Carmen; Pinto Ramos, Marco Antonio; Jimenez Beristain, Laura; Trujillo Toledo, Diego Armando; Chávez Guzmán, Carlos Alberto (Instituto Tecnológico de Chihuahua, 2017-10)

Se presenta el análisis y procesamiento de señales electroencefalográficas (EEG) de un niño de 10 años con Trastorno del Espectro Autista al desarrollar actividades de lectoescritura, en este caso, relacionar en pruebas ...
Métodos Bootstrap: Principios, Teoría y su aplicación al Procesamiento Digital de Señales

De la Rosa, José Ismael; De la Rosa Vargas (Universidad Autónoma de Zacatecas, 2003-06)

El propósito de este curso es de introducir algunas técnicas de remuestreo que han sido explotadas recientemente para llevar a cabo la caracterización estadística de sistemas físicos (cálculo de intervalos de confianza, ...
Speech recognition using deep neural networks trained with non-uniform frame-level cost functions

Becerra de la Rosa, Aldonso; De la Rosa Vargas, José Ismael; González Ramírez, Efrén; Pedroza Ramírez, Ángel David; Martínez, Juan Manuel; Escalante, Nivia (IEEE, 2017-11)

The aim of this paper is to present two new variations of the frame-level cost function for training a Deep neural network in order to achieve better word error rates in speech recognition. Minimization functions of a ...
A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System

Pedroza Ramírez, Ángel David; De la Rosa Vargas, José Ismael; Rosas Valdez, Rogelio; Becerra, Aldonso (IEEE, 2018-09)

In this paper a comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an automatic bird species recognition system is proposed with the aim to ...
Towards the automatization of the Foucault knife-edge quantitative test

Rodriguez, Gustavo; Villa Hernández, José de Jesús; Martínez, G; De la Rosa Vargas, José Ismael; Ivanov, Rumen (SPIE, 2017-09)

Given the increasing necessity of simple, economical and reliable methods and instruments for performing quality tests of optical surfaces such as mirrors and lenses, in the recent years we resumed the study of the long ...

Mostrando ítems 41-60 de 172

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