Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Héctor Gabriel Acosta Mesa"'
Autor:
Aldo Márquez-Grajales, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Fernando Salas-Martínez
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102840- (2024)
The enhanced multi-objective symbolic discretization for time series (eMODiTS) uses an evolutionary process to identify the appropriate discretization scheme in the Time Series Classification (TSC) task. It discretizes using a unique alphabet cut for
Externí odkaz:
https://doaj.org/article/dc1e54c440724f54b54c6a21578f17fb
Autor:
Aldo Márquez-Grajales, Ramiro Villegas-Vega, Fernando Salas-Martínez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102800- (2024)
Drought prediction is a complex phenomenon that impacts human activities and the environment. For this reason, predicting its behavior is crucial to mitigating such effects. Deep learning techniques are emerging as a powerful tool for this task. The
Externí odkaz:
https://doaj.org/article/31b4f8a9bd764acd80d80508e1894c15
Autor:
Isidro Vargas-Moreno, Héctor Gabriel Acosta-Mesa, Juan Francisco Rodríguez-Landa, Martha Lorena Avendaño-Garrido, Rafael Fernández-Demeneghi, Socorro Herrera-Meza
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 5, p 76 (2024)
Behavioral neuropharmacology, a branch of neuroscience, uses behavioral analysis to demonstrate treatment effects on animal models, which is fundamental for pre-clinical evaluation. Typically, this determination is univariate, neglecting the relevant
Externí odkaz:
https://doaj.org/article/1c8773f0cef747938e0df29b8d662b6a
Autor:
Aldo Márquez-Grajales, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Fernando Salas-Martínez
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 5, p 78 (2024)
The enhanced multi-objective symbolic discretization for time series (eMODiTS) method employs a flexible discretization scheme using different value cuts for each non-equal time interval, which incurs a high computational cost for evaluating each obj
Externí odkaz:
https://doaj.org/article/2e6f00fb6d5040a0a641e99c11863d12
Autor:
José-Luis Morales-Reyes, Elia-Nora Aquino-Bolaños, Héctor-Gabriel Acosta-Mesa, Aldo Márquez-Grajales
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 68 (2024)
The concentration of anthocyanins in common beans indicates their nutritional value. Understanding this concentration makes it possible to identify the functional compounds present. Previous studies have presented color characterization as two-dimens
Externí odkaz:
https://doaj.org/article/ebc809b401d3463e93876ca5a64197c5
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 48 (2024)
Semantic segmentation is an essential process in computer vision that allows users to differentiate objects of interest from the background of an image by assigning labels to the image pixels. While Convolutional Neural Networks have been widely used
Externí odkaz:
https://doaj.org/article/7fa4537fae904b7aada5c8c493dc5df2
Autor:
José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales
Publikováno v:
Journal of Agricultural Engineering, Vol 54, Iss 2 (2023)
Studying chemical components in food of natural origin allows us to understand their nutritional contents. However, nowadays, this analysis is performed using invasive methods that destroy the sample under study. These methods are also expensive and
Externí odkaz:
https://doaj.org/article/66cf8d647fea4336bcab685e538ea102
Publikováno v:
Mathematical and Computational Applications, Vol 28, Iss 4, p 80 (2023)
One of the main limitations of traditional neural-network-based classifiers is the assumption that all query data are well represented within their training set. Unfortunately, in real-life scenarios, this is often not the case, and unknown class dat
Externí odkaz:
https://doaj.org/article/6d827916adb74e6fb344e5564302b34c
Autor:
José-Luis Llaguno-Roque, Rocio-Erandi Barrientos-Martínez, Héctor-Gabriel Acosta-Mesa, Tania Romo-González, Efrén Mezura-Montes
Publikováno v:
Mathematical and Computational Applications, Vol 28, Iss 3, p 72 (2023)
Breast cancer has become a global health problem, ranking first in incidences and fifth in mortality in women around the world. In Mexico, the first cause of death in women is breast cancer. This work uses deep learning techniques to discriminate bet
Externí odkaz:
https://doaj.org/article/b661eedd8767402b849062c5e05869cf
Autor:
Rosa Isela Guzmán-Gerónimo, Mónica Herrera-Sotero, Brenda Grijalva, Rosa María Oliart-Ros, José Enrique Meza-Alvarado, Armando Jesús Martínez-Chacón, Héctor-Gabriel Acosta-Mesa, Socorro Herrera-Meza
Publikováno v:
CyTA - Journal of Food, Vol 18, Iss 1, Pp 359-366 (2020)
The effect of blackberry juice processed with microwaves and ultrasound on the biochemical and histopathological profile of Wistar rats fed with high-sucrose+cholesterol diet was evaluated. Rats were divided in five groups: control group (standard di
Externí odkaz:
https://doaj.org/article/b9c520aeb24247048a2a391693a25105