Listar por autor "0000-0003-2820-2918"
Mostrando ítems 1-20 de 66
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A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality
Bolivar, Armando (Springer, 2022-06-11)The interest in exploiting big datasets with machine learning has led to adapting classic strategies in this new paradigm determined by volume, speed, and variety. Because data quality is a determining factor in constructing ... -
A regression model based on the nearest centroid neighborhood
Garcia, Vicente (2018-04-01)The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. It has also ... -
A reliability analysis for electronic devices under an extension of exponentiated perks distribution
Méndez-González, Luis Carlos (2022-12-29)This paper presents a reliability analysis for electronic devices (ED) with bathtub curve-shaped failure times. An extension of the exponentiated perks distribution (EPD) is proposed for the analysis. The extension of ... -
Abriendo camino hacia nuevas fronteras el futuro en la investigación y la innovación en la UACJ
García, Vicente (2023-10-11) -
Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays
Sánchez Garreta, Josep Salvador (ACM, 2018-05)In gene-expression microarray data sets each sample is defined by hundreds or thousands of measurements. High-dimensionality data spaces have been reported as a significant obstacle to apply machine learning algorithms, ... -
Algoritmo de clasificación en un ambiente distribuido para la identificación de enfermedades en imágenes médicas
Florencia, Rogelio (2022-06-30)En este trabajo se aborda el problema de clasificación de estilos fotográficos con el uso de redes neuronales convolucionales, el cual está enfocado a analizar la parte estética de la imagen (estilo) y no a su contenido. ... -
Algoritmo de colonia de hormigas para abordar el problema de order picking
Sánchez Solís, Julia Patricia; Rivera Zarate, Gilberto; García, Vicente; Florencia, Rogelio; Cisneros Pérez, Mariel Sofía (Academia Journals, 2020-11-01)El order picking es uno de los procesos más importantes dentro de un almacén. Uno de los problemas a resolver, es el establecer una ruta de longitud corta para recolectar los productos de un pedido y minimizar los tiempos ... -
An Enhanced Lightweight IoT-based Authentication Scheme in Cloud Computing Circumstances
Martínez-Peláez, Rafael (2019-05-06)With the rapid deployment of the Internet of Things and cloud computing, it is necessary to enhance authentication protocols to reduce attacks and security vulnerabilities which affect the correct performance of applications. ... -
Analysis of Mental Fatigue Under Delivery Pressure and Considering Creativity and Precision to Organize and Distribute a Diorama to Represent Social Issues Based on Cultural Algorithms
Mejia, Jose; Sánchez Solís, Julia Patricia; García, Vicente; Rivera Zarate, Gilberto; Florencia, Rogelio; Díaz Román, José David (Springer, 2021-09-09)Mental fatigue is characterized by excessive work under pressure, which occurs when creativity, precision and organization of the material produced are required. Considering a case study, the behavior of a group of people ... -
Análisis de confiabilidad para motores de Corriente Directa bajo un escenario de voltaje On/Off
Mendez Gonzalez, Luis Carlos (2020-11-25)En el análisis de confiabilidad, se utilizan diferentes técnicas de estrés para conocer la vida útil y el rendimiento de los dispositivos eléctricos mediante Prueba de vida acelerada. Una de estas técnicas de estrés es el ... -
Análisis de la Influencia de las Características Intrínsecas de Datos Financieros en Modelos de Aprendizaje Automático de Valoración de Crédito
Garcia Jimenez, Vicente (2018-08-24)La predicción del riesgo crediticio ha sido ampliamente estudiado como un problema de clasificación binaria usando modelos estadísticos avanzados y de aprendizaje automático. Los sistemas tradicionales de clasificación y ... -
Aplicación de técnicas de aprendizaje profundo para generar imágenes artificiales de mujeres desaparecidas
Florencia, Rogelio; García, Vicente; 206599; Cazares Salais, Blanca Elena (Universidad Autónoma de Ciudad Juárez, 2021-10-26)En México, actualmente se cuenta con 251 134 reportes de personas desaparecidas, de las cuales no se ha localizado a un 40.88%. Aproximadamente, se presentan 100 casos diarios al día a distintas fiscalías en todo el país. ... -
Aplicando la lógica difusa arquimediana compensatoria dentro de un modelo de optimización para la resolución de problemas de analítica de negocios
Rivera Zarate, Gilberto; García, Vicente; 216685; Cisneros Saucedo, Luis; Espin Andrade, Rafael Alejandro (Universidad Autónoma de Ciudad Juárez, 2022-05-16)En esta investigación se define un modelo de optimización OLDAC que incorpora la Lógica Difusa Arquimediana Compensatoria (LDAC) para la resolución de problemas de analítica de negocios. Para esto se realizará una revisión ... -
Application of IoT with haptics interface in the smart manufacturing industry
Contreras Masse, Roberto (2019-05-01)The emerging technologies that make up Industry 4.0, include the Internet of Things and big data. The haptic interfaces have been used in different industries, but apparently, they are not integrated with the two technologies ... -
Auto-adaptive Multilayer Perceptron for Univariate Time Series Classification
Cruz Sanchez, Vianey Guadalupe; Ochoa Domínguez, Humberto; García, Vicente; Vergara Villegas, Osslan Osiris; 171515; Arias del Campo, Felipe (2021-05-19)Time Series Classification (TSC) is an intricate problem that has encountered applications in various science fields. Accordingly, many researchers have presented interesting proposals to tackle the TSC problem. ... -
Clases no balanceadas y alta dimensionalidad en Big Data: Un estudio de SMOTE con normas fraccionales
García, Vicente; Florencia, Rogelio; 198665; Bolívar Velazco, Armando Isaac; Alejo Eleuterio, Roberto (Universidad Autónoma de Ciudad Juárez, 2021-10-26)La presente investigación tiene como objetivo analizar el comportamiento de un algoritmo de sobremuestreo basado en distancias, llamado SMOTE, en un problema de clases no balanceadas y alta dimensionalidad en Big Data. ... -
Convolutional Neural Network in a Pseudo-Distributed Environment for Classification of Chest X-Ray Images of Patients with Pneumonia
Sánchez Solís, Julia Patricia (2020-05-01)In recent years, there has been an increase in the volume of medical data, generating hundreds of terabytes (TB)/petabytes (PB) of data from different sources. This has led to the emergence of innovative technologies such ... -
Data Augmentation Techniques for Facial Image Generation: A Brief Literature Review
Florencia, Rogelio; García, Vicente; Sánchez Solís, Julia Patricia; Cazares, Blanca Elena; 206599 (Springer, 2023-09-23)Image processing has gained notoriety over the last few years in performing various tasks through deep learning (DL) algorithms, such as face recognition and identity verification. Unfortunately, most of them require a ... -
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19
García, Vicente; Rivera Zarate, Gilberto; 158883; Mar-Cupido, Ricardo; Sánchez, J. Salvador; 158883 (2022-06-23)The use of face masks in public places has emerged as one of the most effective non-pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the development of several detection systems for ... -
Degradation modeling based on the gamma process with random initial degradation level and random threshold
Rodriguez Picon, Luis Alberto (2023-01-08)The stochastic modeling of performance characteristics is an important approach for the quality assessment of products. As part of the stochastic modeling, it is possible to consider different variation sources such as ...