Listar por autor "0000-0002-0131-7566"
Mostrando ítems 1-20 de 32
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A method to construct all the paving matroids over a finite set
Mederos, Boris (2022-06-27)We give a characterization of paving matroids through their sets of hyperplanes and an algorithm to construct all of them. We also give a simple proof of Rota’s basis conjecture for the case of sparse-paving matroids and ... -
A SOLID MECHANICS APPROACH FOR CERAMIC PROCESSING AND PROPERTIES CHARACTERIZATION
Camacho Montes, Hector (Sociedad Mexicana de Materiales, 2023-08-13)Ceramic processing deals with a large number of parameters to be controlled. In addition to this, the connection among processing variables is usually larger than expected. One solution to deal with this situation can be ... -
A weighted and distributed algorithm for multi-hop localization
Cota Ruiz, Juan De Dios (2019-07-01)Multi-hop wireless sensor networks are widely used in many location-dependent applications. Most applications assume the knowledge of geographic location of sensor nodes; however, in practical scenarios, the high accuracy ... -
A Weighted and Distributed Algorithm for Range-Based Multi-Hop Localization Using a Newton Method
Díaz Román, José David (2021-03-26)Wireless sensor networks are used in many location-dependent applications. The location of sensor nodes is commonly carried out in a distributed way for energy saving and network robustness, where the handling of these ... -
A1-S-9232 “Optimización de piezoeléctricos ecológicos por medio del monitoreo in situ de la viscosidad uniaxial”
Camacho Montes, Hector (2022-11-10)La actividad que falta por cumplir está bien definida, consiste en realizar la conexión: tamaño de grano – viscosidad uniaxial – propiedad piezoeléctrica. Existen adelantos importantes en esta actividad. De hecho, se ha ... -
A1-S-9232 “Optimización de piezoeléctricos ecológicos por medio del monitoreo in situ de la viscosidad uniaxial”
Camacho Montes, Hector (2023-10-19) -
Adaptive filter with Riemannian manifold constraint
Mejia, Jose (2023-06-02)The adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear ... -
Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach
Gordillo Castillo, Nelly (2018-06-05)The detection of ischemic changes is a primary task in the interpretation of brain Computer Tomography (CT) of patients suffering from neurological disorders. Although CT can easily show these lesions, their interpretation ... -
Ceramic Sintering And Properties Characterization Based On Solid Mechanics
Camacho Montes, Hector (TechConnect a Division of ATI, 2022-06-13)Solid mechanics offers a considerable potential to describe densification and deformation during sintering as well as the polycrystal structure-properties relationship. Densification and deformation are described during ... -
Comparación de Técnicas de Procesamiento de Video en Diferentes Espacios de Color para la Estimación de la Frecuencia Cardíaca
Cota Ruiz, Juan De Dios; Mederos, Boris; Rascon Madrigal, Lidia Hortencia; Mejia, Jose; Díaz Román, José David; 158173; González, Daniela (Sociedad Mexicana de Ingeniería Biomédica, 2021-11-30)This study aims to compare different analysis techniques to determine which of these provides better results in estimating heart rate through video processing. The techniques, in general, consisted in the extraction of ... -
Compress sensing algorithm for estimation of signals in sensor networks
Martínez, Juan (2019-06-07)In this research, we present a data recovery scheme for wireless sensor networks. In some sensor networks, each node must be able to recover the complete information of the network, which leads to the problem of the high ... -
DETECCIÓN DE SOMNOLENCIA EN CONDUCTORES DE VEHÍCULOS POR MEDIO DE PROCESAMIENTO DE VIDEO
Díaz Román, José David (2022-06-30)Los accidentes automovilísticos son una de las principales causas de muerte y lesiones a nivel mundial. Muchos son causados por fatiga y somnolencia de los conductores. El presente estudio tiene como objetivo detectar ... -
Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning
Mederos, Boris; Mejia, Jose; Rascon Madrigal, Lidia Hortencia; Cota Ruiz, Juan De Dios; Díaz Román, José David; 157964 (2022-04-13)The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of lesions caused by this disease can help to provide an adequate treatment and monitoring its evolution. This research ... -
Estimación automática de la variabilidad en la delineación de la próstata en imágenes de resonancia magnética
Gordillo Castillo, Nelly (Universidad Autónoma de Ciudad Juárez, 2021-05-21)El propósito de esta investigación es crear un algoritmo capaz de proveer una estimación de incertidumbre (valores probabilísticos, áreas de variabilidad, etc.) de la estructura anatómica de la próstata sobre la segmen- ... -
Estimation of the lifespan distribution of gold nanoparticles stabilized with lipoic acid by accelerated degradation tests and wiener process
Cornejo Monroy, Delfino (2022-07-06)Accelerated degradation tests (ADT) are widely used in the manufacturing industry to obtain information on the reliability of components and materials, by degrading the lifespan of the product by applying an acceleration ... -
Feature space optimization for brain tissue classification in non-contrast computed tomography images
Mejia, Jose; Mederos, Boris; Gordillo Castillo, Nelly; Sánchez Guerrero, César Ubaldo; Cruz Aceves, Iván (IEEE, 2021-09-13)In this work, a classification problem focused on brain tissue types in non-contrasted computed tomography images is explored. A group of characteristics is proposed in the spatial domain, and block model for feature ... -
Identification of Pneumonia with X-ray Images Using Deep Transfer Learning
Díaz Román, José David (Springer, 2023-10-26)Radiology plays an essential role in the identification of pathologies; however, image interpretation and the guarantee of accurate diagnoses continue to represent a challenge that involves expert radiologists. This study ... -
Implementation of a Multicriteria Analysis Model to Determine Anthropometric Characteristics of an Optimal Helmet of an Italian Scooter.
Ochoa, Alberto; Hernandez Arellano, Juan Luis; Mejia, Jose; Mederos, Boris; Cuevas, Josué (2020-02-17)At the beginning of the sixties, the Italian scooters became popular in Italy, an age that was considered unimportant the safety of people. However, safety standards are now stronger, and helmet use is mandatory in most ... -
Improving segmentation of liver tumors using deep learning
Mejia, Jose (Springer, 2020-02-28)Liver tumor segmentation from computed tomography images is an essential task for the automated diagnosis and treatment of liver cancer. However, such task is di cult due to the variability of morphologies, di use boundaries, ... -
INFLUENCE OF GRAIN SIZE ON UNIAXIAL VISCOSITY DURING THE SINTERING PROCESS IN CERAMICS
Camacho Montes, Hector; Mederos, Boris; 183097; Vega Siverio, Antonino; Espinoza Ochoa, Irma Magaly (Sociedad Mexicana de Materiales, 2022-08-15)The present work aims to investigate the susceptibility of uniaxial viscosity to characterize the influence of grain size during the sintering process in ceramics, monitoring and estimating during its evolution and acting ...