Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mirna Patricia Ponce-Flores"'
Autor:
Mirna Patricia Ponce-Flores, Jesús David Terán-Villanueva, Salvador Ibarra-Martínez, José Antonio Castán-Rocha
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3924 (2023)
In this paper, we tackle the problem of forecasting future pandemics by training models with a COVID-19 time series. We tested this approach by producing one model and using it to forecast a non-trained time series; however, we limited this paper to
Externí odkaz:
https://doaj.org/article/1d09b170c0934b3f893758cadf06f0b8
Autor:
Fernando Ornelas, Alejandro Santiago, Salvador Ibarra Martínez, Mirna Patricia Ponce-Flores, Jesús David Terán-Villanueva, Fausto Balderas, José Antonio Castán Rocha, Alejandro H. García, Julio Laria-Menchaca, Mayra Guadalupe Treviño-Berrones
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2513 (2022)
In this work, we investigate the variant of the Internet Shopping Optimization Problem (ISHOP) that considers different item units. This variant is more challenging than the original problem. The original ISHOP is already known as a combinatorial NP-
Externí odkaz:
https://doaj.org/article/da285406b0e1435eaccfb2edddedc498
Autor:
Mariel Abigail Cruz-Nájera, Mayra Guadalupe Treviño-Berrones, Mirna Patricia Ponce-Flores, Jesús David Terán-Villanueva, José Antonio Castán-Rocha, Salvador Ibarra-Martínez, Alejandro Santiago, Julio Laria-Menchaca
Publikováno v:
Symmetry, Vol 14, Iss 6, p 1231 (2022)
This paper tackles the problem of forecasting real-life crime. However, the recollected data only produced thirty-five short-sized crime time series for three urban areas. We present a comparative analysis of four simple and four machine-learning-bas
Externí odkaz:
https://doaj.org/article/cc3417d0cf5e48e78ea9aad7392d795f
Autor:
Edgar Oviedo-Salas, Jesús David Terán-Villanueva, Salvador Ibarra-Martínez, Alejandro Santiago-Pineda, Mirna Patricia Ponce-Flores, Julio Laria-Menchaca, José Antonio Castán-Rocha, Mayra Guadalupe Treviño-Berrones
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1965 (2022)
This research addresses the two-dimensional strip packing problem to minimize the total strip height used, avoiding overlapping and placing objects outside the strip limits. This is an NP-hard optimization problem. We propose a greedy randomized adap
Externí odkaz:
https://doaj.org/article/34c6a578b5d844288fb8e328d366a9f7
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:
Jesus David Teran Villanueva, Alejandro Humberto Garcia Ruiz, Aurelio Alejandro Santiago Pineda, Mirna Patricia Ponce Flores, José Antonio Castán Rocha, Julio Laria Menchaca, Mayra Guadalupe Treviño Berrones, Salvador Ibarra Martínez
Publikováno v:
Symmetry, Vol 13, Iss 344, p 344 (2021)
Symmetry; Volume 13; Issue 2; Pages: 344
Symmetry; Volume 13; Issue 2; Pages: 344
Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization
Autor:
Alejandro Humberto García Ruiz, Salvador Ibarra Martínez, José Antonio Castán Rocha, Jesús David Terán Villanueva, Julio Laria Menchaca, Mayra Guadalupe Treviño Berrones, Mirna Patricia Ponce Flores, Aurelio Alejandro Santiago Pineda
Publikováno v:
Symmetry, Vol 13, Iss 2, p 344 (2021)
Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization
Externí odkaz:
https://doaj.org/article/bd7a532be7bf431abf4cbe6e66ec0a16