Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Carlos E. Galvan-Tejada"'
Autor:
Jacqueline S. Ortiz-Letechipia, Carlos E. Galvan-Tejada, Jorge I. Galván-Tejada, Manuel A. Soto-Murillo, Erika Acosta-Cruz, Hamurabi Gamboa-Rosales, José María Celaya Padilla, Huizilopoztli Luna-García
Publikováno v:
PeerJ, Vol 12, p e16501 (2024)
The occurrence of fungi is cosmopolitan, and while some mushroom species are beneficial to human health, others can be toxic and cause illness problems. This study aimed to analyze the organoleptic, ecological, and morphological characteristics of a
Externí odkaz:
https://doaj.org/article/740dcccd7d744b28886a314082838b1b
Autor:
Erik O. Cuevas-Rodriguez, Carlos E. Galvan-Tejada, Valeria Maeda-Gutiérrez, Gamaliel Moreno-Chávez, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Huizilopoztli Luna-García, Arturo Moreno-Baez, José María Celaya-Padilla
Publikováno v:
PeerJ, Vol 11, p e14806 (2023)
The gastrointestinal (GI) tract can be affected by different diseases or lesions such as esophagitis, ulcers, hemorrhoids, and polyps, among others. Some of them can be precursors of cancer such as polyps. Endoscopy is the standard procedure for the
Externí odkaz:
https://doaj.org/article/8ae2e7b6ee5b4a3ab3023c3030755245
Autor:
Antonio García-Domínguez, Carlos E. Galvan-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa, Jorge I. Galván-Tejada, José María Celaya Padilla, Huizilopoztli Luna-García, Jose G. Arceo-Olague, Rafael Magallanes-Quintanar
Publikováno v:
PeerJ Computer Science, Vol 6, p e308 (2020)
Children activity recognition (CAR) is a subject for which numerous works have been developed in recent years, most of them focused on monitoring and safety. Commonly, these works use as data source different types of sensors that can interfere with
Externí odkaz:
https://doaj.org/article/3f552b5d14614676a3b5b089f0d9e33f
Autor:
Jose M. Celaya-Padilla, Jonathan S. Romero-González, Carlos E. Galvan-Tejada, Jorge I. Galvan-Tejada, Huizilopoztli Luna-García, Jose G. Arceo-Olague, Nadia K. Gamboa-Rosales, Claudia Sifuentes-Gallardo, Antonio Martinez-Torteya, José I. De la Rosa, Hamurabi Gamboa-Rosales
Publikováno v:
Sensors, Vol 21, Iss 22, p 7752 (2021)
Worldwide, motor vehicle accidents are one of the leading causes of death, with alcohol-related accidents playing a significant role, particularly in child death. Aiming to aid in the prevention of this type of accidents, a novel non-invasive method
Externí odkaz:
https://doaj.org/article/5aa60ce12c2e480ca05592dafedccbfb
Autor:
Maximiliano Guzman-Fernandez, Huizilopoztli Luna-García, Cesar A. Collazos, Wilson J. Sarmiento, Jorge I. Galvan-Tejada, Hamurabi Gamboa-Rosales, Carlos E. Galvan-Tejada, Jose M. Celaya-Padilla, Misael Zambrano-de la Torre, J. Guadalupe Lara-Cisneros
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030923242
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ede2d666afade663940368a5921e9f5
https://doi.org/10.1007/978-3-030-92325-9_4
https://doi.org/10.1007/978-3-030-92325-9_4
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
Auto-Machine-Learning Models for Standardized Precipitation Index Prediction in North–Central Mexico
Autor:
Rafael Magallanes-Quintanar, Carlos E. Galván-Tejada, Jorge Isaac Galván-Tejada, Hamurabi Gamboa-Rosales, Santiago de Jesús Méndez-Gallegos, Antonio García-Domínguez
Publikováno v:
Climate, Vol 12, Iss 7, p 102 (2024)
Certain impacts of climate change could potentially be linked to alterations in rainfall patterns, including shifts in rainfall intensity or drought occurrences. Hence, predicting droughts can provide valuable assistance in mitigating the detrimental
Externí odkaz:
https://doaj.org/article/f4ebcd2b38dd4177bf270db194e0e5d6
Autor:
Carlos E. Galvan Tejada, Pedro Rodríguez Juárez, Susana Burnes, Julián González Trinidad, Hugo Enrique Júnez-Ferrerira, J. Ismael de la Rosa Vargas
Publikováno v:
CONIELECOMP
In this work the development of a continuous monitoring system for the hydraulic conductivity is presented. The system uses the measurement of temperatures in geological materials at different depths to calculate the water flux rates by using analyti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e1e00d2b56bc8d65a3563dd94a59d4e
https://doi.org/10.1109/conielecomp.2018.8327179
https://doi.org/10.1109/conielecomp.2018.8327179
Autor:
Jared D. Salinas-González, Alejandra García-Hernández, David Riveros-Rosas, Adriana E. González-Cabrera, Alejandro Mauricio-González, Carlos E. Galván-Tejada, Sodel Vázquez-Reyes, Hamurabi Gamboa-Rosales
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 709 (2024)
The assessment of solar resources involves the utilization of physical or satellite models for the determination of solar radiation on the Earth’s surface. However, a critical aspect of model validation necessitates comparisons against ground-truth
Externí odkaz:
https://doaj.org/article/7ea9a386d7fe43ff9120bbe19b200f55
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