Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Adriana Mexicano-Santoyo"'
Autor:
Nelva Nely Almanza-Ortega, Juana María Flores-Vázquez, Héctor Martínez-Añorve, Joaquín Pérez-Ortega, José Crispín Zavala-Díaz, Adriana Mexicano-Santoyo, Jesús Carlos Carmona-Fraustro
Publikováno v:
Procedia Computer Science. 219:586-595
Autor:
Lilia Mexicano Santoyo, Tarsicio Medina Saavedra, Gabriela Arroyo Figueroa, Adriana Mexicano Santoyo, Patricia Rafael Martínez
Publikováno v:
Journal of Agricultural Sciences Research (2764-0973). 2:2-7
Autor:
Pascual Noradino Montes Dorantes, Gerardo Maximiliano Méndez, Marco Aurelio Jiménez Gómez, Adriana Mexicano Santoyo
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 120:869-880
Autor:
Adriana Mexicano-Santoyo, Eduardo Cerecedo-Sáenz, Juan Hernández-Ávila, Milton Ruiz, Eleazar Salinas-Rodríguez, Ricardo D. López-García, Aracely Maldonado-Reyes
Publikováno v:
Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI. 8:106-111
En el presente trabajo se realizó el análisis estructural y de caracterización microestructural y de propiedades mecánicas de recubrimientos de galvanizado por inmersión continua en caliente sobre láminas de acero, sometiendo a diferentes tempe
Autor:
Gerardo M. Mendez, Adriana Mexicano Santoyo, Marco Aurelio Jiménez Gómez, Pascual Noradino Montes Dorantes
This paper presents type-1 and type-2 radial basis function networks to evaluate quality features. The proposed methodology fuses the central composite design and the radial basis function neural networks in type-1 or interval type-2 model to generat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14e32ccafcd3962857aa464906add2e0
https://doi.org/10.21203/rs.3.rs-862636/v1
https://doi.org/10.21203/rs.3.rs-862636/v1
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 102:3757-3766
A novel method that uses a Mandami interval singleton type-2 fuzzy logic system (IT2 SFLS) with the support of the central composite design (CCD) technique and the classic approach of composed base inference (CBI) is made to enhance the modeling and
Autor:
Adriana Mexicano Santoyo, Victor Manuel Valdes Flores, Pedro Henoc Ireta Sánchez, Marco Aurelio Jiménez Gómez, Alan Tijerina de la Rosa, Ricardo Martínez López
Publikováno v:
Technological and Industrial Applications Associated with Intelligent Logistics ISBN: 9783030686543
World-class companies are always looking to minimize their production costs. One of these costs is the distribution of materials in the production lines. This article addresses a real problem of material handling in a chemical company through 14 reac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::985f20604ea910dd219338abc9b16454
https://doi.org/10.1007/978-3-030-68655-0_5
https://doi.org/10.1007/978-3-030-68655-0_5
Autor:
Pascual Noradino Montes Dorantes, Marco Aurelio Jiménez Gómez, Adriana Mexicano Santoyo, Gerardo M. Mendez
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 92:755-763
Measurements are the core of quality systems. The calibration of the measurement devices is a form of evaluating it. The variability of these measurement devices is verified to know the variation inherited in the measurement tool. Additionally, the d
Autor:
Darnes Vilariño-Ayala, Hugo Estrada-Esquivel, Hilda Castillo-Zacatelco, Adriana Mexicano-Santoyo, Alicia Martínez-Rebollar, Joaquín Pérez-Ortega, José Crispín Zavala-Díaz
Publikováno v:
Ingeniería, Investigación y Tecnología. 17(2):155-168
ResumenEl problema de Bin Packing (BPP) es NP-duro, por lo que un método exacto para resolver instancias del BPP requiere un gran número de variables y demasiado tiempo de ejecución. En este trabajo se propone una nueva estrategia heurística para
Publikováno v:
IEEE Latin America Transactions. 13:2454-2462
We address the multidimensional characterization of difficult instances of the Bin Packing Problem, well known in the combinatorial optimization realm. In search for efficient procedures to solve hard combinatorial optimization problems previous inve