Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Héctor Rodríguez-Rángel"'
Autor:
Kimberly Mendivil-García, José Luis Medina, Héctor Rodríguez-Rangel, Adriana Roé-Sosa, Leonel Ernesto Amábilis-Sosa
Publikováno v:
Water Supply, Vol 24, Iss 1, Pp 204-222 (2024)
This research applies artificial intelligence algorithms for optimizing the water quality monitoring network in a representative basin with intensive agricultural and livestock activities. This study used the water quality database provided by the Na
Externí odkaz:
https://doaj.org/article/594017f8e09d439f842058cdae5fe113
Autor:
Monserrat Vázquez-Hernández, Luis Alberto Morales-Rosales, Ignacio Algredo-Badillo, Sofía Isabel Fernández-Gregorio, Héctor Rodríguez-Rangel, María-Luisa Córdoba-Tlaxcalteco
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4614 (2024)
In recent years, the use of deep learning models for deploying sentiment analysis systems has become a widespread topic due to their processing capacity and superior results on large volumes of information. However, after several years’ research, p
Externí odkaz:
https://doaj.org/article/b00b8daf841f4777adedd0e93b97c650
Autor:
Héctor Rodríguez-Rángel, Dulce María Arias, Luis Alberto Morales-Rosales, Victor Gonzalez-Huitron, Mario Valenzuela Partida, Joan García
Publikováno v:
Energies, Vol 15, Iss 7, p 2500 (2022)
One-stage production of carbohydrate-enriched microalgae biomass in wastewater is a promising option to obtain biofuels. Understanding the interaction of water quality parameters such as nutrients, carbon, internal carbohydrates, and microbial compos
Externí odkaz:
https://doaj.org/article/48251635a1d64638b632379c4be03d52
Autor:
Juan Carlos Carrillo-Alarcón, Luis Alberto Morales-Rosales, Héctor Rodríguez-Rángel, Mariana Lobato-Báez, Antonio Muñoz, Ignacio Algredo-Badillo
Publikováno v:
Sensors, Vol 20, Iss 11, p 3139 (2020)
The electrocardiogram records the heart’s electrical activity and generates a significant amount of data. The analysis of these data helps us to detect diseases and disorders via heart bio-signal abnormality classification. In unbalanced-data conte
Externí odkaz:
https://doaj.org/article/b119375c47b24891a3d1df1909544c13
Autor:
Mariana Lobato-Báez, Ignacio Algredo-Badillo, Juan Carlos Carrillo-Alarcón, Luis Alberto Morales-Rosales, Antonio Muñoz, Héctor Rodríguez-Rángel
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3139, p 3139 (2020)
Sensors
Volume 20
Issue 11
Sensors, Vol 20, Iss 3139, p 3139 (2020)
Sensors
Volume 20
Issue 11
The electrocardiogram records the heart&rsquo
s electrical activity and generates a significant amount of data. The analysis of these data helps us to detect diseases and disorders via heart bio-signal abnormality classification. In unbalanced-d
s electrical activity and generates a significant amount of data. The analysis of these data helps us to detect diseases and disorders via heart bio-signal abnormality classification. In unbalanced-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a7aca5fbc7c8d306de42dd4ddc62de
http://europepmc.org/articles/PMC7308921
http://europepmc.org/articles/PMC7308921
Autor:
Héctor Rodríguez-Rangel, Luis Alberto Morales-Rosales, Rafael Imperial-Rojo, Mario Alberto Roman-Garay, Gloria Ekaterine Peralta-Peñuñuri, Mariana Lobato-Báez
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 2907 (2022)
Automobiles have increased urban mobility, but traffic accidents have also increased. Therefore, road safety is a significant concern involving academics and government. Transit studies are the main supply for studying road accidents, congestion, and
Externí odkaz:
https://doaj.org/article/676edcc1a02d481f8af08f3fc92f22f9