Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Julio César Salgado-Ramírez"'
Autor:
Leon Tabaro, Jean Marie Vianney Kinani, Alberto Jorge Rosales-Silva, Julio César Salgado-Ramírez, Dante Mújica-Vargas, Ponciano Jorge Escamilla-Ambrosio, Eduardo Ramos-Díaz
Publikováno v:
Information, Vol 15, Iss 8, p 473 (2024)
In this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While algorithmic trading is focused on using computer algorithms to automate a predefined trading strategy, in this work, we train a Double Deep Q-
Externí odkaz:
https://doaj.org/article/3547b98b3acc4e129149b0d00547a585
Autor:
Rafael Rojas-Hernández, Juan Luis Díaz-de-León-Santiago, Grettel Barceló-Alonso, Jorge Bautista-López, Valentin Trujillo-Mora, Julio César Salgado-Ramírez
Publikováno v:
Entropy, Vol 24, Iss 7, p 951 (2022)
This paper introduces a new method of compressing digital images by using the Difference Transform applied in medical imaging. The Difference Transform algorithm performs the decorrelation process of image data, and in this way improves the encoding
Externí odkaz:
https://doaj.org/article/0444ef0d5a354e4dba698bf03a32f017
Autor:
Julio César Salgado-Ramírez, Jean Marie Vianney Kinani, Eduardo Antonio Cendejas-Castro, Alberto Jorge Rosales-Silva, Eduardo Ramos-Díaz, Juan Luis Díaz-de-Léon-Santiago
Publikováno v:
Mathematics, Vol 10, Iss 1, p 148 (2022)
Associative memories in min and max algebra are of great interest for pattern recognition. One property of these is that they are one-shot, that is, in an attempt they converge to the solution without having to iterate. These memories have proven to
Externí odkaz:
https://doaj.org/article/f48fd98d1f9c4888ade4c51e5f40d602
Autor:
Francisco David Pérez-Reynoso, Liliam Rodríguez-Guerrero, Julio César Salgado-Ramírez, Rocío Ortega-Palacios
Publikováno v:
Sensors, Vol 21, Iss 17, p 5882 (2021)
People with severe disabilities require assistance to perform their routine activities; a Human–Machine Interface (HMI) will allow them to activate devices that respond according to their needs. In this work, an HMI based on electrooculography (EOG
Externí odkaz:
https://doaj.org/article/cfc9ea73bf5e47809836fdf570901c1c
Autor:
Valentín Trujillo-Mora, Marco Moreno-Ibarra, Francisco Marroquín-Gutiérrez, Julio-César Salgado-Ramírez
Publikováno v:
Mathematics; Volume 11; Issue 9; Pages: 2015
Associative memories are a significant topic in pattern recognition, and therefore, throughout history, numerous memory models have been designed due to their usefulness. One such model is the associative memory minmax, which is highly efficient at l
Publikováno v:
Quantum Information Processing. 21
Autor:
Yenny Villuendas-Rey, Julio-César Salgado-Ramírez, Marco-Antonio Moreno-Ibarra, Cornelio Yáñez-Márquez, Miltiadis D. Lytras
Publikováno v:
Mathematics
Volume 9
Issue 15
Mathematics, Vol 9, Iss 1817, p 1817 (2021)
Volume 9
Issue 15
Mathematics, Vol 9, Iss 1817, p 1817 (2021)
Machine learning in the medical area has become a very important requirement. The healthcare professional needs useful tools to diagnose medical illnesses. Classifiers are important to provide tools that can be useful to the health professional for t
Publikováno v:
Computación y Sistemas. 24
Computational intelligence models applied to medicine have become a growing area of research around the world. This article presents the results of a documentary research that allows identifying the most important computational intelligence models of
Autor:
Suri Sadai Bautista-Monroy, Edgar Arturo Chávez-Urbiola, Rocío Ortega-Palacios, Armando González-Sánchez, Carlos Alberto Gómez-Aldapa, Odín Rodríguez-Nava, Julio Cesar Salgado-Ramírez, Arturo Cadena-Ramírez
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1513 (2022)
The scaling of Raceway bioreactors was studied by geometric and mechanical similarity, with an order of magnitude of 1:10. The hydrodynamic parameters involved (flow velocity, hydrodynamic stress or shear stress, dimensionless numbers of Re, Fr, and
Externí odkaz:
https://doaj.org/article/45a6486fd1c340cd98a89f51c234382d
Autor:
Israel Campero-Jurado, Daniel Robles-Camarillo, Jorge A. Ruiz-Vanoye, Juan M. Xicoténcatl-Pérez, Ocotlán Díaz-Parra, Julio-César Salgado-Ramírez, Francisco Marroquín-Gutiérrez, Julio Cesar Ramos-Fernández
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2417 (2024)
Hypertensive disorders in pregnancy, which include preeclampsia, eclampsia, and chronic hypertension, complicate approximately 10% of all pregnancies in the world, constituting one of the most serious causes of mortality and morbidity in gestation. T
Externí odkaz:
https://doaj.org/article/77808864348b4ac89621326c9afb95fc