Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Everardo Inzunza-González"'
Autor:
Marco Antonio Gómez-Guzmán, Everardo Inzunza-González, Kenia Palomino-Vizcaino, José Jaime Esqueda-Elizondo, Enrique Efren García-Guerrero, Oscar Roberto López-Bonilla, Ulises Jesús Tamayo-Perez, Laura Jiménez-Beristáin
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 838-850 (2024)
This paper evaluates the nonlinear dynamics of a melanoma cancer model through the iterative technique of finding compact invariant sets (LMCIS). The objective is to discover equilibrium points, ascertain their stability qualities, and determine the
Externí odkaz:
https://doaj.org/article/d446ea85481b4a8e8b0eae2a27ca7600
Autor:
Carlos Hernández-Mejía, Delia Torres-Muñoz, Everardo Inzunza-González, Carlos Sánchez-López, Enrique Efrén García-Guerrero
Publikováno v:
Logistics, Vol 6, Iss 3, p 59 (2022)
Background: The health crisis due to COVID-19 has changed the habits of social coexistence and therefore has had a significant impact on several economic sectors, including logistics. Nowadays, this sector faces one of the most difficult challenges i
Externí odkaz:
https://doaj.org/article/16b257af62124560ac1552c249a992a4
Autor:
Francisco Javier Ramírez-Arias, Enrique Efren García-Guerrero, Esteban Tlelo-Cuautle, Juan Miguel Colores-Vargas, Eloisa García-Canseco, Oscar Roberto López-Bonilla, Gilberto Manuel Galindo-Aldana, Everardo Inzunza-González
Publikováno v:
Technologies, Vol 10, Iss 4, p 79 (2022)
In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the accuracy of the classification of motor movements. Machine learning (ML) algorithms such as artificial neural networks (ANNs), linear discriminant analysis (
Externí odkaz:
https://doaj.org/article/f2cf375428da4424a22c506346e9d9d2
Autor:
José Jaime Esqueda-Elizondo, Reyes Juárez-Ramírez, Oscar Roberto López-Bonilla, Enrique Efrén García-Guerrero, Gilberto Manuel Galindo-Aldana, Laura Jiménez-Beristáin, Alejandra Serrano-Trujillo, Esteban Tlelo-Cuautle, Everardo Inzunza-González
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 2, p 21 (2022)
Autism Spectrum Disorder (ASD) is a neurodevelopmental life condition characterized by problems with social interaction, low verbal and non-verbal communication skills, and repetitive and restricted behavior. People with ASD usually have variable att
Externí odkaz:
https://doaj.org/article/2d59ba50369c4ece8400649238c0b94e
Autor:
Eduardo Enrique Contreras-Luján, Enrique Efrén García-Guerrero, Oscar Roberto López-Bonilla, Esteban Tlelo-Cuautle, Didier López-Mancilla, Everardo Inzunza-González
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 2, p 24 (2022)
Deep venous thrombosis (DVT) is a disease that must be diagnosed quickly, as it can trigger the death of patients. Nowadays, one can find different ways to determine it, including clinical scoring, D-dimer, ultrasonography, etc. Recently, scientists
Externí odkaz:
https://doaj.org/article/a9421b84fd23442a9fe4bfe3cc779ac0
Autor:
Maria Berenice Fong-Mata, Everardo Inzunza-González, Enrique Efrén García-Guerrero, David Abdel Mejía Medina, Oscar Adrián Morales Contreras, Antonio Gómez-Roa
Publikováno v:
Revista de Ciencias Tecnológicas, Vol 3, Iss 1 (2020)
La Trombosis Venosa Profunda (TVP) es una manifestación de una Enfermedad Tromboembólica (ET). Cuando en una TVP los trombos venosos se desprenden y viajan a través del torrente sanguíneo pueden ocasionar una Trombo Embolia Pulmonar (TEP). La exi
Externí odkaz:
https://doaj.org/article/cc9ec09d480147cfa38f37375f8edb2f
Autor:
José Ricardo Cárdenas-Valdez, Jose Alejandro Galaviz-Aguilar, Cesar Vargas-Rosales, Everardo Inzunza-González, Leonardo Flores-Hernández
Publikováno v:
Sensors, Vol 22, Iss 3, p 1176 (2022)
The signal conditioning treatment to achieve good relation of power with radio-frequency (RF) conversion in conventional transceiver systems require precise baseband models. A developed framework is built to provide a demonstration of the modeling fi
Externí odkaz:
https://doaj.org/article/7e14aa2cd2cb43efb3b0ab7015694fb3
Autor:
Alfonso Navarro-Espinoza, Oscar Roberto López-Bonilla, Enrique Efrén García-Guerrero, Esteban Tlelo-Cuautle, Didier López-Mancilla, Carlos Hernández-Mejía, Everardo Inzunza-González
Publikováno v:
Technologies, Vol 10, Iss 1, p 5 (2022)
Nowadays, many cities have problems with traffic congestion at certain peak hours, which produces more pollution, noise and stress for citizens. Neural networks (NN) and machine-learning (ML) approaches are increasingly used to solve real-world probl
Externí odkaz:
https://doaj.org/article/c89b6c71f19546ee9454c1aa8c8008a9
Autor:
Jose Alejandro Galaviz-Aguilar, Cesar Vargas-Rosales, José Ricardo Cárdenas-Valdez, Yasmany Martínez-Reyes, Everardo Inzunza-González, Yuma Sandoval-Ibarra, José Cruz Núñez-Pérez
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 2942 (2021)
In this paper, we present an adaptive modeling and linearization algorithm using the weighted memory polynomial model (W-MPM) implemented in a chain involving the indirect learning approach (ILA) as a linearization technique. The main aim of this pap
Externí odkaz:
https://doaj.org/article/c8a3fa34d0f64cb3b4422e4cedc429ed
Autor:
Lidia Yolanda Ramírez-Rios, Claudia Camargo-Wilson, Jesús Everardo Olguín-Tiznado, Juan Andrés López-Barreras, Everardo Inzunza-González, Jorge Luis García-Alcaraz
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2051 (2021)
Innovations within the medical device sector are constantly and rapidly emerging due to increasing demand, especially for orthosis systems, which usually constitute built rigids with low comfort, due mainly to the standardized production process. Thi
Externí odkaz:
https://doaj.org/article/35ec2c1566404a278a66687256f3dd48