Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Marcos Aviles"'
Autor:
Marcos Aviles, Luz María Sánchez-Reyes, José Manuel Álvarez-Alvarado, Juvenal Rodríguez-Reséndiz
Publikováno v:
Eng, Vol 5, Iss 3, Pp 1464-1484 (2024)
This article presents a systematic review using PRISMA methodology to explore trends in the use of machine and deep learning in diagnosing and detecting Alzheimer’s disease using electroencephalography. This review covers studies published between
Externí odkaz:
https://doaj.org/article/ea12804c1ee34b8796e2cde37f95f33a
Autor:
Sergio A. Perez-Rodriguez, Jose M. Alvarez-Alvarado, Julio-Alejandro Romero-Gonzalez, Marcos Aviles, America Eileen Mendoza-Rojas, Carlos Fuentes-Silva, Juvenal Rodriguez-Resendiz
Publikováno v:
IEEE Access, Vol 12, Pp 100134-100151 (2024)
In the contemporary world, where the escalating demand for energy and the imperative for sustainable sources, notably solar energy, have taken precedence, the investigation into solar radiation (SR) has become indispensable. Characterized by its inte
Externí odkaz:
https://doaj.org/article/5e0a18c60f6e4cc78d63266db57dc48a
Publikováno v:
IEEE Access, Vol 12, Pp 13962-13970 (2024)
The best way to represent EMG signals for classification is a topic that has been widely studied due to the need to improve precision when identifying the type of movement being performed. However, by increasing the number of features when forming a
Externí odkaz:
https://doaj.org/article/1da3dcce976d454db21766ee11fe1a48
Publikováno v:
Clinics and Practice, Vol 13, Iss 4, Pp 977-993 (2023)
Purpose: this research compared the dissociated phoria at near and distance fixation in free space using the Howell test, alternate Cover test, and Thorington test. Methods: 220 healthy Mexican children (mean age 8.3±2.5 years) participated in this
Externí odkaz:
https://doaj.org/article/46d11230d6a846a09f8a87586bd54b67
Autor:
José Rafael Dorrego-Portela, Adriana Eneida Ponce-Martínez, Eduardo Pérez-Chaltell, Jaime Peña-Antonio, Carlos Alberto Mateos-Mendoza, José Billerman Robles-Ocampo, Perla Yazmin Sevilla-Camacho, Marcos Aviles, Juvenal Rodríguez-Reséndiz
Publikováno v:
Technologies, Vol 12, Iss 2, p 22 (2024)
In this article, the behavior of the thrust force on the blades of a 10 kW wind turbine was obtained by considering the characteristic wind speed of the Isthmus of Tehuantepec. Analyzing mechanical forces is essential to efficiently and safely design
Externí odkaz:
https://doaj.org/article/d728f2d40a804ebcb244afd4485f8e0b
Autor:
Marcos Aviles, José Manuel Alvarez-Alvarado, Jose-Billerman Robles-Ocampo, Perla Yazmín Sevilla-Camacho, Juvenal Rodríguez-Reséndiz
Publikováno v:
Bioengineering, Vol 11, Iss 1, p 77 (2024)
Accurate classification of electromyographic (EMG) signals is vital in biomedical applications. This study evaluates different architectures of recurrent neural networks for the classification of EMG signals associated with five movements of the righ
Externí odkaz:
https://doaj.org/article/1e40cbb879eb49e6b287171339b751f0
Publikováno v:
Technologies, Vol 11, Iss 4, p 87 (2023)
This work proposes a metaheuristic-based approach to hyperparameter selection in a multilayer perceptron to classify EMG signals. The main goal of the study is to improve the performance of the model by optimizing four important hyperparameters: the
Externí odkaz:
https://doaj.org/article/284617bc6f3842c58a25cc1df9e6a84d
Publikováno v:
Technologies, Vol 11, Iss 1, p 25 (2023)
This article presents the methodology for developing a control laboratory project that provides practical experience based on the ABET criteria. The project is structured around a portable and cheap ball and beam whose integrated system is made using
Externí odkaz:
https://doaj.org/article/a6d1dad1f7ea449c8101c981cc4448b0
Autor:
Marcos Aviles, Luz-María Sánchez-Reyes, Rita Q. Fuentes-Aguilar, Diana C. Toledo-Pérez, Juvenal Rodríguez-Reséndiz
Publikováno v:
Micromachines, Vol 13, Iss 12, p 2108 (2022)
Electromyography (EMG) processing is a fundamental part of medical research. It offers the possibility of developing new devices and techniques for the diagnosis, treatment, care, and rehabilitation of patients, in most cases non-invasively. However,
Externí odkaz:
https://doaj.org/article/6f81ede052b04e7893d49d8605688b34
Autor:
Huertas-García, Álvaro, Muñoz, Javier, Ambite, Enrique De Miguel, Camarmas, Marcos Avilés, Ovejero, José Félix
The integration of predictive maintenance and cybersecurity represents a transformative advancement for small and medium-sized enterprises (SMEs) operating within the Industry 4.0 paradigm. Despite their economic importance, SMEs often face significa
Externí odkaz:
http://arxiv.org/abs/2405.15832
