Listar Artículo en revista de investigación por autor "0000-0002-3400-9279"
Mostrando ítems 1-13 de 13
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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 ... -
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 ... -
Dictionary-based super resolution for positron emission tomography images
Rodríguez Hernández, Leandro José (2019-09-11)In this paper, a strategy to increase the resolution of positron emission tomography (PET) images, using a previously trained high resolution dictionary for the sinograms is proposed. The low resolution input sinogram is ... -
Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
García, Vicente (2019-03-01)Bankruptcy prediction has acquired great relevance for financial institutions due to the complexity of global economies and the growing number of corporate failures, especially since the world financial crisis of 2008. In ... -
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 ... -
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 ... -
High Amplification Scales Handling Frequency Content and Novel Gradient Sharpening Procedures
Morera Delfin, Leandro (2018-07-30)In this paper, a method for adaptive pure interpolation (PI) in the frequency domain, with gradient auto-regularization, is proposed. The input image is transformed into the frequency domain and convolved with the Fourier ... -
Mexican traffic sign detection and classification using deep learning
Mendoza, Carlos; Vergara Villegas, Osslan Osiris; Ochoa Domínguez, Humberto; Cruz Sanchez, Vianey Guadalupe; Castruita, Rubén (2022-04-25)En este trabajo tiene se propone una metodología para la detección y clasificación de señales de tránsito mexicanas utilizando aprendizaje profundo. La metodología consiste en la creación de un nuevo conjunto de datos de ... -
Radial Basis Function Neural Network for the Evaluation of Image Color Quality Shown on Liquid Crystal Displays
Vergara Villegas, Osslan Osiris; Cruz Sanchez, Vianey Guadalupe; Ochoa Domínguez, Humberto; Nandayapa, Manuel; Arias del Campo, Felipe; 171515 (2021-02-01)The color quality of an image shown on a liquid crystal display (LCD) can be measured with a spectroradiometer; however, this instrument is expensive, work under controlled illumination conditions with an artificial source ... -
Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images
Ochoa Domínguez, Humberto; Vergara Villegas, Osslan Osiris; Cruz Sanchez, Vianey Guadalupe; Polanco Gonzalez, Javier; 194726; Rodríguez, Leandro José; Sossa, Juan Humberto (2023-05-05)Positron emission tomography (PET) has been widely used in nuclear medicine to diagnose cancer. PET images suffer from degradation because of the scanner’s physical limitations, the radiotracer’s reduced dose, and the ... -
Study of the Effect of Combining Activation Functions in a Convolutional Neural Network
Vergara Villegas, Osslan Osiris (2020-11-04)Convolutional Neural Networks (CNN’s) have proven to be an effective approach for solving image classification problems. The output, the accuracy and the computational efficiency of a CNN are determined mainly by the ... -
Using Regression Models for Predicting the Product Quality in a Tubing Extrusion Process
Garcia, Vicente (2019-08-01)Quality in a manufacturing process implies that the performance characteristics of the product and the process itself are designed to meet specific objectives. Thus, accurate quality prediction plays a principal role in ...