Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Carlos A. Olvera-Olvera"'
Autor:
Martha Isabel Escalona-Llaguno, Luis Octavio Solís-Sánchez, Celina L. Castañeda-Miranda, Carlos A. Olvera-Olvera, Ma. del Rosario Martinez-Blanco, Héctor A. Guerrero-Osuna, Rodrigo Castañeda-Miranda, Germán Díaz-Flórez, Gerardo Ornelas-Vargas
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7449 (2024)
This work explores the prediction of daily Global Horizontal Irradiance (GHI) patterns in the region of Zacatecas, Mexico, using a diverse range of predictive models, encompassing traditional regressors and advanced neural networks like Evolutionary
Externí odkaz:
https://doaj.org/article/84d9df0bf1f94d51adaa01be31f0b906
Autor:
Manuel de Jesús López-Martínez, Germán Díaz-Flórez, Santiago Villagrana-Barraza, Celina L. Castañeda-Miranda, Luis Octavio Solís-Sánchez, Diana I. Ortíz-Esquivel, José I. de la Rosa-Vargas, Carlos A. Olvera-Olvera
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1206 (2024)
Agriculture is an area that currently benefits from the use of new technologies and techniques, such as artificial intelligence, to improve production in crop fields. Zacatecas is one of the states producing the most onions in the northeast region of
Externí odkaz:
https://doaj.org/article/f3bde6a5e4444411ac63baed45b943dc
Autor:
Manuel López-Martínez, Germán Díaz-Flórez, Santiago Villagrana-Barraza, Luis O. Solís-Sánchez, Héctor A. Guerrero-Osuna, Genaro M. Soto-Zarazúa, Carlos A. Olvera-Olvera
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6007 (2023)
One of the main concerns in precision agriculture (PA) is the growth of weeds within a crop field. Currently, to prevent the spread of weeds, automatic techniques and computational tools are used to help to identify, classify, and detect the differen
Externí odkaz:
https://doaj.org/article/fecb867876fd456f828d754e06d27ce5
Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases
Autor:
Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Huizilopoztli Luna-García, Rafael Magallanes-Quintanar, Carlos A. Guerrero Méndez, Carlos A. Olvera-Olvera
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1245 (2020)
Tomato plants are highly affected by diverse diseases. A timely and accurate diagnosis plays an important role to prevent the quality of crops. Recently, deep learning (DL), specifically convolutional neural networks (CNNs), have achieved extraordina
Externí odkaz:
https://doaj.org/article/5b841c3f79bf46aab65e61e69a17cae5
Autor:
Francisco Eneldo López Monteagudo, Jorge de la Torre y Ramos, Erick Bernal Guerrero, Francisco Bañuelos Ruedas, Rafael Villela Varela, Claudia Reyes Rivas, Carlos Alberto Olvera Olvera, Santiago Villagrana Barraza, Luis Octavio Solís Sánchez
Publikováno v:
ITEGAM-JETIA, Vol 8, Iss 33 (2022)
At present, the use of electricity generation systems through alternative sources of energy is continuously increasing, due to the increase in global energy demand, and a trend in which CO2 emissions are being reduced. As a result of these trends, th
Externí odkaz:
https://doaj.org/article/2a35b1275b624b8cb9b678f936fe2036
Autor:
Francisco Eneldo López Monteagudo, Carlos Alberto Olvera Olvera, María Auxiliadora Araiza Esquivel, Carlos Guzmán Martínez, Abdiel Moisés Martínez Bañuelos, Domingo José Gómez Meléndez, Alfonso López Martínez, Miriam Vilaragut Llanes
Publikováno v:
Revista Científica de Ingeniería Energética, Vol 40, Iss 1, Pp 3-13 (2019)
The need for energy in the world has led to the search for new ways of electric power generation, among which is the use of fuel cells as a renewable source that does not contribute to environmental pollution and has high efficiency in energy convers
Externí odkaz:
https://doaj.org/article/b62c0ead98fc415fa1971f0c467c742d
Autor:
Carlos Paredes-Orta, Jorge Domingo Mendiola-Santibañez, Danjela Ibrahimi, Juvenal Rodríguez-Reséndiz, Germán Díaz-Florez, Carlos Alberto Olvera-Olvera
Publikováno v:
Sensors, Vol 22, Iss 4, p 1378 (2022)
This article presents two procedures involving a maximal hyperconnected function and a hyperconnected lower leveling to segment the brain in a magnetic resonance imaging T1 weighted using new openings on a max-tree structure. The openings are hyperco
Externí odkaz:
https://doaj.org/article/691cd79f7ffe4ad984ac9b3ed92ce1c6
Autor:
Salvador Castro-Tapia, Celina Lizeth Castañeda-Miranda, Carlos Alberto Olvera-Olvera, Héctor A. Guerrero-Osuna, José Manuel Ortiz-Rodriguez, Ma. del Rosario Martínez-Blanco, Germán Díaz-Florez, Jorge Domingo Mendiola-Santibañez, Luis Octavio Solís-Sánchez
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11398 (2021)
Breast cancer is one of the diseases of most profound concern, with the most prevalence worldwide, where early detections and diagnoses play the leading role against this disease achieved through imaging techniques such as mammography. Radiologists t
Externí odkaz:
https://doaj.org/article/681be7432c424ef983dd5bb4607c5fa6
Autor:
Mireya Moreno-Lucio, Celina Lizeth Castañeda-Miranda, Gustavo Espinoza-García, Carlos Alberto Olvera-Olvera, Luis F. Luque-Vega, Antonio Del Rio-De Santiago, Héctor A. Guerrero-Osuna, Ma. del Rosario Martínez-Blanco, Luis Octavio Solís-Sánchez
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11166 (2021)
One of the main problems in crops is the presence of pests. Traditionally, sticky yellow traps are used to detect pest insects, and they are then analyzed by a specialist to identify the pest insects present in the crop. To facilitate the identificat
Externí odkaz:
https://doaj.org/article/e04601abcf494facaa1d190f832470b5
Autor:
Carlos Alberto Olvera Olvera, Jesus Antonio Nava Pintor, LUIS F. LUQUE-VEGA, Rocío Carrasco-Navarro, Teodoro Ibarra-Pérez, Hector Alonso Guerrero Osuna
Publikováno v:
Sustainability; Volume 15; Issue 2; Pages: 1386
Boosting by the world’s context, several efforts have been maiden toward the digital transformation of Education. Technology-based active learning has become pivotal in pursuing a more flexible education system. This work presents the development o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d260b71c618d384dae83f503f56af949