Zobrazeno 1 - 10
of 103
pro vyhledávání: '"José M. Celaya-Padilla"'
Autor:
Rosa A. García-Hernández, Huizilopoztli Luna-García, José M. Celaya-Padilla, Alejandra García-Hernández, Luis C. Reveles-Gómez, Luis Alberto Flores-Chaires, J. Ruben Delgado-Contreras, David Rondon, Klinge O. Villalba-Condori
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7165 (2024)
This systematic literature review delves into the extensive landscape of emotion recognition, sentiment analysis, and affective computing, analyzing 609 articles. Exploring the intricate relationships among these research domains, and leveraging data
Externí odkaz:
https://doaj.org/article/495f675c5b11486a804a8d9dad03d425
Autor:
Jorge A. Morgan-Benita, José M. Celaya-Padilla, Huizilopoztli Luna-García, Carlos E. Galván-Tejada, Miguel Cruz, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Ana G. Sánchez-Reyna, David Rondon, Klinge O. Villalba-Condori
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1623 (2024)
Type 2 diabetes mellitus (T2DM) is one of the most common metabolic diseases in the world and poses a significant public health challenge. Early detection and management of this metabolic disorder is crucial to prevent complications and improve outco
Externí odkaz:
https://doaj.org/article/09d55322375443d38bec0a56a1a28c3e
Autor:
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Miguel Cruz, Irma Gonzalez-Curiel, J. Rubén Delgado-Contreras, Manuel A. Soto-Murillo, José M. Celaya-Padilla, Jorge I. Galván-Tejada
Publikováno v:
Diseases, Vol 11, Iss 4, p 134 (2023)
The escalating prevalence of Type 2 Diabetes (T2D) represents a substantial burden on global healthcare systems, especially in regions such as Mexico. Existing diagnostic techniques, although effective, often require invasive procedures and labor-int
Externí odkaz:
https://doaj.org/article/319c6f48388244a7a79702df63f6f24a
Autor:
Luis C. Reveles-Gómez, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría-Huidobro, Hamurabi Gamboa-Rosales, Roberto Solís-Robles, José G. Arceo-Olague, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, David Rondon, Klinge O. Villalba-Condori
Publikováno v:
Sensors, Vol 23, Iss 17, p 7559 (2023)
In recent years, the application of artificial intelligence (AI) in the automotive industry has led to the development of intelligent systems focused on road safety, aiming to improve protection for drivers and pedestrians worldwide to reduce the num
Externí odkaz:
https://doaj.org/article/6bea9496a8384451bd9a33f5985b3673
Autor:
Rosa A. García-Hernández, José M. Celaya-Padilla, Huizilopoztli Luna-García, Alejandra García-Hernández, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, David Rondon, Klinge O. Villalba-Condori
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6394 (2023)
Emotion recognition based on electroencephalogram signals (EEG) has been analyzed extensively in different applications, most of them using medical-grade equipment in laboratories. The trend in human-centered artificial intelligence applications is t
Externí odkaz:
https://doaj.org/article/e7768d7aadaa4024bdd9394ed6f0910c
Autor:
Jaime Mercado Reyna, Huizilopoztli Luna-Garcia, Carlos H. Espino-Salinas, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, Roberto Solís Robles, David Rondon, Klinge Orlando Villalba-Condori
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5882 (2023)
The lack of helmet use in motorcyclists is one of the main risk factors with severe consequences in traffic accidents. Wearing a certified motorcycle helmet can reduce the risk of head injuries by 69% and fatalities by 42%. At present there are syste
Externí odkaz:
https://doaj.org/article/29644846ee194bd583db2579fb37d9eb
Autor:
Karen E. Villagrana-Bañuelos, Valeria Maeda-Gutiérrez, Vanessa Alcalá-Rmz, Juan J. Oropeza-Valdez, Ana S. Herrera-Van Oostdam, Julio E. Castañeda-Delgado, Jesús Adrián López, Juan C. Borrego Moreno, Carlos E. Galván-Tejada, Jorge I. Galván-Tejeda, Hamurabi Gamboa-Rosales, Huizilopoztli Luna-García, José M. Celaya-Padilla, Yamilé López-Hernández
Publikováno v:
Revista de Investigación Clínica, Vol 74, Iss 6 (2022)
Background: The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus and is responsible for nearly 6 million deaths worldwide in the past 2 years. Machine learning (ML) models could help physicians in identifying hig
Externí odkaz:
https://doaj.org/article/fb4644d06cea44b891e0dbdbdb0bdc37
Autor:
Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge A. Morgan-Benita, Cesar Vera-Vasquez, Wilson J. Sarmiento, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Klinge Orlando Villalba-Condori
Publikováno v:
Sensors, Vol 23, Iss 2, p 784 (2023)
Driver identification refers to the process whose primary purpose is identifying the person behind the steering wheel using collected information about the driver him/herself. The constant monitoring of drivers through sensors generates great benefit
Externí odkaz:
https://doaj.org/article/d761b72e3b234346a7962da7ba5d41ad
Autor:
María de la Luz Escobar, José I. De la Rosa, Carlos E. Galván-Tejada, Jorge I. Galvan-Tejada, Hamurabi Gamboa-Rosales, Daniel de la Rosa Gomez, Huitzilopoztli Luna-García, José M. Celaya-Padilla
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 3099 (2022)
Breast cancer is the most common cancer among women worldwide, after lung cancer. However, early detection of breast cancer can help to reduce death rates in breast cancer patients and also prevent cancer from spreading to other parts of the body. Th
Externí odkaz:
https://doaj.org/article/c0c98ac377ab458ab154e4befc68a77a
Autor:
Carlos H. Espino-Salinas, Carlos E. Galván-Tejada, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Laura A. Zanella-Calzada, Jorge I. Galván Tejada
Publikováno v:
Bioengineering, Vol 9, Iss 9, p 458 (2022)
Depression is a common illness worldwide, affecting an estimated 3.8% of the population, including 5% of all adults, in particular, 5.7% of adults over 60 years of age. Unfortunately, at present, the ways to evaluate different mental disorders, like
Externí odkaz:
https://doaj.org/article/9894a192f0ed4aa3b74ae909aedbe42d