Listar IIT por autor "0000-0002-6572-6596"
Mostrando ítems 1-20 de 37
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3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain
Vergara Villegas, Osslan Osiris (Springer, 2022-06-11)In this work, we propose a three dimensional (3D) convolutional neural network (CNN) to enhance sinograms acquired from a small-animal positron emission tomography (PET) scanner. The network consists of three convolutional ... -
A Brief Panorama of Artificial Intelligence in Mexico
Vergara Villegas, Osslan Osiris (2021-09-11)Artificial Intelligence (AI) allows that computer-based systems learn from experience and perform a task similar to how humans would. Currently, Mexico is considered one of the Latin American countries with significant ... -
A Convolutional Neural Network for Handwritten Digit Recognition
Guevara Neri, Maria Cristina (2019-11-15)Technological development in recent years has generated the constant need to digitalize and analyze data, where handwritten digit recognition is a popular problem. This paper focuses on the creation of two handwritten digit ... -
A methodology for character recognition and revision of the linear equations solving procedure
Vergara Villegas, Osslan Osiris (2023-01-01)Linear equations are valuable for real-world modeling phenomena involving at least one variable. However, verifying if the procedure followed by a human for solving a linear equation was done correctly is still a complicated ... -
Aplicación móvil para monitoreo y control de un alimentador de mascotas
Reynoso Jardón, elva (2023-04-30)El presente proyecto se centra en el desarrollo de una aplicación para dispositivos móviles con el funcionamiento de control y monitoreo de un alimentador automático de mascotas. El documento presenta un diseño de una ... -
Applications of Haptic Systems in Virtual Environments: A Brief Review
Vergara Villegas, Osslan Osiris; Garcia, Francesco; Nandayapa Alfaro, Manuel de Jesus; Rodriguez Ramirez, Alma G. (Springer, 2018-04)Haptic systems and virtual environments represent two innovative technologies that have been attractive for the development of applications where the immersion of the user is the main concern. This chapter presents a brief ... -
Artificial Intelligence for Industry 4.0 in Iberoamerica
Vergara Villegas, Osslan Osiris (2021-12-01)Artificial intelligence applied to industry 4.0 will help the Iberoamerican industries to experiment and adopt a digital transformation. In this paper, we present a literature review of the work conducted by Iberoamerican ... -
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. ... -
Auto-regularized Gradients of Adaptive Interpolation for MRI Super-Resolution
Morera Delfin, Leandro (2018-10-10)In this paper, a method for adaptive pure interpolation (PI) of magnetic resonance imaging (MRI) in the frequency domain, with gradient auto-regularization, is proposed. The input image is transformed into the frequency ... -
Comparación de dos métodos para reconocimiento de dígitos manuscritos fuera de línea
Vergara Villegas, Osslan Osiris (2018-04-14)En el presente artículo, se muestra el resultado de la comparación del desempeño de dos métodos para el reconocimiento de dígitos manuscritos fuera de línea. El primer método, es una red de perceptrones con la cual se ... -
Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms
Ochoa Domínguez, Humberto; Vergara Villegas, Osslan Osiris; Cruz Sanchez, Vianey Guadalupe; 216618; Luna Lozoya, Ricardo Salvador; Sossa, Juan Humberto (Springer, 2023-06-09)Microcalcifications clusters (MCCs) are relevant breast cancer indirect evidence and early detection can prevent death. In this paper, we carry out a comparison of the deep learning architectures (DL) InceptionV3, ... -
Denoising of Ultrasound Medical Images Using the DM6437 High-Performance Digital Media Processor
Martínez Medrano, Gerardo Adrián (Springer International Publishing AG, 2018-04-29)Medical ultrasound images are inherently contaminated by a multiplicative noise called speckle. The noise reduces the resolution and contrast, decreasing the capability of the visual evaluation of the image, and sometimes ... -
Desarrollo De Una Estación De Prueba Para Celdas De Litio 18650 Utilizando Arduino Y Labview
Cornejo Monroy, Delfino; Vergara Villegas, Osslan Osiris; Ponce, Israel; Govea Muñoz, Juan Alberto; 183046 (2021-12-27)Este trabajo se centra en el estudio de la degradación de la capacidad de las celdas de litio 18650, principalmente en la prueba para determinar la capacidad restante en celdas usadas, obteniendo como parámetro principal ... -
Desarrollo de una máquina automática para validar sensores de nivel de gasolina
Reynoso Jardón, elva (2022-04-18)This document presents the final report corresponding to the development of an automatic machine to validate gasoline level sensors. The purpose of the machine is to reduce time and increase performance in the gasoline ... -
Detección y Clasificación de Señales de Tráfico Mexicanas Mediante Aprendizaje Profundo
Cruz Sanchez, Vianey Guadalupe (2020-12-31)La detección y clasificación automática de señales de tráfico es una tarea para apoyar la seguridad de un conductor e incluso para asistir en la navegación de un automóvil autónomo. El objetivo del artículo es presentar ... -
Detection of Facial Spoofing Attacks in Uncontrolled Environments using ELBP and Color Models
Vergara Villegas, Osslan Osiris (2022-03-03)Distance education has become an alternative in teaching derived from the Covid-19 pandemic. However, distance education has led to bad practices for some students. For example, it was detected that some students spoofed ... -
Driving Maximal Frequency Content and Natural Slopes Sharpening for Image Amplification with High Scale Factor
Leandro Morera, Delfin (2018-05-05)In this paper, a method for adaptive Pure Interpolation (PI) in the frequency domain, with gradient auto-regularization, is proposed. he input image is transformed into the frequency domain and convolved with the Fourier ... -
Effects of using mobile augmented reality for simple interest computation in a financial mathematics course
Cruz Sanchez, Vianey Guadalupe; Vergara Villegas, Osslan Osiris; Hernández Moreno, Laura Alicia; Lopez Solorzano, Juan Gabriel; Tovar Morales, María teresa (2021-06-29)Understanding the concept of simple interest is essential in financial mathematics because it establishes the basis to comprehend complex conceptualizations. Nevertheless, students often have problems learning about ... -
Estudio comparativo de algoritmos de súper resolución de una sola imagen basados en aprendizaje profundo
Ochoa Domínguez, Humberto (2020-12-12)El problema de la súper resolución comprende un conjunto de métodos de procesamiento digital de imágenes; su objetivo es incrementar la resolución de las imágenes para mejorar su calidad visual. En años recientes, con el ... -
Evaluación del desempeño de sensores infrarrojo, ultrasónico y visión para el conteo de vehículos
Cruz Sanchez, Vianey Guadalupe (2020-11-15)El tráfico vehicular es un problema social típico de las grandes urbes y su solución no es fácil, aunque si es necesaria. Una forma de comenzar a plantear soluciones consiste en realizar un análisis de tráfico en las ...