Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Carlos Soubervielle Montalvo"'
Autor:
Jesus Agustin Aboytes-Gonzalez, Carlos Soubervielle-Montalvo, Isaac Campos-Canton, Oscar Ernesto Perez-Cham, Marco Tulio Ramirez-Torres
Publikováno v:
IEEE Access, Vol 11, Pp 99546-99557 (2023)
This study presents a method based on elementary logic and arithmetic operations to enhance the cryptographic properties of Substitution Boxes (S-Boxes). S-Boxes are a crucial component of cryptosystems, as they apply the confusion principle to infor
Externí odkaz:
https://doaj.org/article/1b40823abe034f23aa382746ddfbd13e
Autor:
Daniel Alejandro Magallón-García, Luis Javier Ontanon-Garcia, Juan Hugo García-López, Guillermo Huerta-Cuéllar, Carlos Soubervielle-Montalvo
Publikováno v:
Axioms, Vol 12, Iss 2, p 200 (2023)
Considering that chaotic systems are immersed in multiple areas of science and nature and that their dynamics are governed by a great sensitivity to the initial conditions and variations in their parameters, it is of great interest for the scientific
Externí odkaz:
https://doaj.org/article/2c7f4a7f1bf547f8abcbb7dcabfac735
Autor:
Juan Manuel Fortuna-Cervantes, Marco Tulio Ramírez-Torres, Marcela Mejía-Carlos, José Salomé Murguía, José Martinez-Carranza, Carlos Soubervielle-Montalvo, César Arturo Guerra-García
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3592 (2022)
Convolutional Neural Networks (CNNs) have recently been proposed as a solution in texture and material classification in computer vision. However, inside CNNs, the internal layers of pooling often cause a loss of information and, therefore, is detrim
Externí odkaz:
https://doaj.org/article/4f610187488444ca9f7114f5a144fc2a
Autor:
Carlos Soubervielle-Montalvo, Oscar E. Perez-Cham, Cesar Puente, Emilio J. Gonzalez-Galvan, Gustavo Olague, Carlos A. Aguirre-Salado, Juan C. Cuevas-Tello, Luis J. Ontanon-Garcia
Publikováno v:
Sensors, Vol 22, Iss 3, p 1280 (2022)
Video tracking involves detecting previously designated objects of interest within a sequence of image frames. It can be applied in robotics, unmanned vehicles, and automation, among other fields of interest. Video tracking is still regarded as an op
Externí odkaz:
https://doaj.org/article/e5da5450d2154de9a2757d5a97c6211e
Autor:
Baltazar Cerda, Isaac Campos‐Canton, Finees Delgado‐Aranda, Carlos Soubervielle‐Montalvo, Edgar Tristán‐Hernández
Publikováno v:
International Journal of Circuit Theory and Applications. 51:932-954
Autor:
Guillermo Huerta Cuellar, Juan Hugo García López, Luis Javier Ontañón García Pimentel, Daniel Alejandro Magallón, Carlos Soubervielle-Montalvo
Publikováno v:
Axioms; Volume 12; Issue 2; Pages: 200
Considering that chaotic systems are immersed in multiple areas of science and nature and that their dynamics are governed by a great sensitivity to the initial conditions and variations in their parameters, it is of great interest for the scientific
Autor:
Jesus Gerardo Torres-Vega, Juan C. Cuevas-Tello, Cesar Puente, Jose Nunez-Varela, Carlos Soubervielle-Montalvo
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e30eec88272f11353e8e76c0ba261ea
https://doi.org/10.1007/978-981-19-7660-5_22
https://doi.org/10.1007/978-981-19-7660-5_22
Autor:
Oscar E. Perez-Cham, Cesar Puente, Carlos Soubervielle-Montalvo, Gustavo Olague, Carlos A. Aguirre-Salado, Alberto S. Nuñez-Varela
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 2122 (2020)
Object tracking refers to the relocation of specific objects in consecutive frames of a video sequence. Presently, this visual task is still considered an open research issue, and the computer science community attempted solutions from the standpoint
Externí odkaz:
https://doaj.org/article/892e0f6c7edd4e37adef5a2bda7e45db
Autor:
Hector A. Alvarez-Macias, Rafael Pena-Gallardo, Carlos Soubervielle-Montalvo, Edgar D. De Leon-Mendoza, Jose A. Pecina-Sanchez
Publikováno v:
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Autor:
Cesar Puente, Gustavo Olague, Mattia Trabucchi, P. David Arjona-Villicaña, Carlos Soubervielle-Montalvo
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 156 (2019)
Vegetation Indices (VIs) represent a useful method for extracting vegetation information from satellite images. Erosion models like the Revised Universal Soil Loss Equation (RUSLE), employ VIs as an input to determine the RUSLE soil Cover factor (C).
Externí odkaz:
https://doaj.org/article/3da76f15b9c34efba131d231aef5b005