Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Guadalupe Castilla Valdez"'
Autor:
Juan Frausto Solis, José L. Purata Aldaz, Manuel González del Angel, Javier González Barbosa, Guadalupe Castilla Valdez
Publikováno v:
Axioms, Vol 11, Iss 2, p 42 (2022)
The classic model of Markowitz for designing investment portfolios is an optimization problem with two objectives: maximize returns and minimize risk. Various alternatives and improvements have been proposed by different authors, who have contributed
Externí odkaz:
https://doaj.org/article/c9028d88cb924f23b36445eb23bb7757
Autor:
Erick Estrada-Patiño, Guadalupe Castilla-Valdez, Juan Frausto-Solis, Javier González-Barbosa, Juan Paulo Sánchez-Hernández
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract This paper presents FORSEER (Forecasting by Selective Ensemble Estimation and Reconstruction), a novel methodology designed to address temperature forecasting under the challenges inherent to climate change. FORSEER integrates decomposition,
Externí odkaz:
https://doaj.org/article/5e6e71559d1741ee874669cb47a27856
Autor:
Erick Estrada Patiño, Guadalupe Castilla Valdez, Juan Frausto Solís, Jesús David Terán Villanueva
Publikováno v:
Programación Matemática y Software, Vol 9, Iss 3 (2017)
La inteligencia artificial ha ayudado a diversas áreas médicas como lo es el campo del diagnóstico médico, en el que ha servido como un apoyo al profesional de la salud para emitir un diagnóstico. Esto se logra a través de diversas técnicas de
Externí odkaz:
https://doaj.org/article/4105670da3a7415993b2efab70160a5f
Autor:
Juan Frausto-Solís, José Christian de Jesús Galicia-González, Juan Javier González-Barbosa, Guadalupe Castilla-Valdez, Juan Paulo Sánchez-Hernández
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 2, p 19 (2024)
Accurate forecasting remains a challenge, even with advanced techniques like deep learning (DL), ARIMA, and Holt–Winters (H&W), particularly for chaotic phenomena such as those observed in several areas, such as COVID-19, energy, and financial time
Externí odkaz:
https://doaj.org/article/18b2832467bf42d8bfa6a0e54a9cd65c
Autor:
Juan Frausto-Solis, Lemuel Rodriguez-Moya, Javier González-Barbosa, Guadalupe Castilla-Valdez, Mirna Ponce-Flores
Publikováno v:
Mathematical Problems in Engineering. 2022:1-19
The combination of forecasting methods is a widespread technique. The most common technique for ensembling several individual methods is scoring. These ensemble methods have been useful for designing hybrid forecasting time series methods in several
Autor:
Leo Hernández-Ramírez, Juan Frausto-Solís, Guadalupe Castilla-Valdez, Javier González-Barbosa, Juan-Paulo Sánchez Hernández
Publikováno v:
Axioms; Volume 11; Issue 2; Pages: 61
The Job Shop Scheduling Problem (JSSP) consists of finding the best scheduling for a set of jobs that should be processed in a specific order using a set of machines. This problem belongs to the NP-hard class problems and has enormous industrial appl
Autor:
Carlos A. Hernández Carreón, Juana E. Mancilla Tolama, Ivan Gonzalez, Guadalupe Castilla Valdez
Publikováno v:
MRS Advances. 4:3373-3380
The hot rolling process reduces a slab passing through a series of work-rolls to obtain a strip of target thickness. Developing robust, efficient, and accurate simulation methods improve the process. This research aims to minimize the hot rolling tim
Autor:
Juan Frausto Solís, Juan Javier González Barbosa, Jesus David Teran Villanueva, Mirna Patricia Ponce Flores, Joaquín Pérez Ortega, Guadalupe Castilla Valdez
Publikováno v:
IEEE Latin America Transactions. 17:815-822
The Hurst exponent is a metric used to evaluate whether a time series exhibits long-term memory, and it is used to identify its complexity. Besides, forecasting methods are tested using time series from Makridakis competition. Additionally, Exponenti
Autor:
Fanny G. Maldonado-Nava, Juan Frausto-Solís, Juan Paulo Sánchez-Hernández, Diego A. Soto-Monterrubio, Guadalupe Castilla-Valdez, Juan Javier González-Barbosa
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 39, p 39 (2021)
Mathematical and Computational Applications
Volume 26
Issue 2
Mathematical and Computational Applications
Volume 26
Issue 2
The Protein Folding Problem (PFP) is a big challenge that has remained unsolved for more than fifty years. This problem consists of obtaining the tertiary structure or Native Structure (NS) of a protein knowing its amino acid sequence. The computatio
Autor:
Juan Javier González-Barbosa, Guadalupe Castilla-Valdez, Leonor Hernández-Ramírez, Juan Paulo Sánchez-Hernández, Juan Frausto-Solís
Publikováno v:
Mathematical and Computational Applications
Volume 26
Issue 1
Mathematical and Computational Applications, Vol 26, Iss 8, p 8 (2021)
Volume 26
Issue 1
Mathematical and Computational Applications, Vol 26, Iss 8, p 8 (2021)
The Job Shop Scheduling Problem (JSSP) has enormous industrial applicability. This problem refers to a set of jobs that should be processed in a specific order using a set of machines. For the single-objective optimization JSSP problem, Simulated Ann