Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Alicia Martínez-Rebollar"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The reference evapotranspiration (ETo) is an essential component in hydrological and ecological processes. The objective of this research is to develop an explicit model to estimate ETo only using commonly measurable meteorological parameter
Externí odkaz:
https://doaj.org/article/afd1d141b420403894dcb7ae08c3cf13
Autor:
Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, Alicia Martínez-Rebollar
Publikováno v:
Axioms, Vol 13, Iss 9, p 592 (2024)
Fuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large problem instances. Therefore, a hybrid improvement is proposed for the algorithm, which co
Externí odkaz:
https://doaj.org/article/383e3fb86ead48eea6734626c357d926
Autor:
Odette Pliego-Martínez, Alicia Martínez-Rebollar, Hugo Estrada-Esquivel, Ernesto de la Cruz-Nicolás
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2016 (2024)
The precise allocation of weights to criteria plays a fundamental role in multicriteria decision-making, exerting a significant influence on the obtained results. Ensuring an appropriate weighting of criteria is crucial for conducting a fair and accu
Externí odkaz:
https://doaj.org/article/aa5b2a37de5244be8176ac23160af489
Autor:
Keila Vasthi Cortés-Martínez, Hugo Estrada-Esquivel, Alicia Martínez-Rebollar, Yasmín Hernández-Pérez, Javier Ortiz-Hernández
Publikováno v:
Axioms, Vol 11, Iss 5, p 242 (2022)
Current computer systems are accumulating huge amounts of information in several application domains. The outbreak of COVID-19 has increased rekindled interest in the use of data mining techniques for the analysis of factors that are related to the e
Externí odkaz:
https://doaj.org/article/bb2aafe4a480455db15b782b7f2e1456
Autor:
Alicia Martínez-Rebollar, Carlos A. Ruíz Gutiérrez, Hugo Estrada Esquivel, Yasmin Hernández Pérez
Publikováno v:
Boletín Científico INVESTIGIUM de la Escuela Superior de Tizayuca. 8:102-110
Hoy en día, el diseño y planeación de los trazados viales en las urbes modernas representa un gran desafío. Además, el uso masivo del transporte público y la actual complejidad de las distintas rutas que operan en las ciudades ha ocasionado que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02c0902d84a0aafb8e5158108bae2a0c
https://doi.org/10.29057/est.v8iespecial.9994
https://doi.org/10.29057/est.v8iespecial.9994
Autor:
Juan José Flores-Sedano, Hugo Estrada-Esquivel, Alicia Martínez Rebollar, Juan José Jassón Flores Prieto
Publikováno v:
Smart Cities ISBN: 9783031284533
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::907f19ac550ae5040594bd4a9e9355db
https://doi.org/10.1007/978-3-031-28454-0_9
https://doi.org/10.1007/978-3-031-28454-0_9
Autor:
Ernesto de-la-Cruz-Nicolás, Alicia Martínez-Rebollar, Hugo Estrada-Esquivel, Javier Ortiz-Hernández
Publikováno v:
2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::693fca7f2c8508ede8766bfde45422ec
https://doi.org/10.1109/conisoft55708.2022.00024
https://doi.org/10.1109/conisoft55708.2022.00024
Autor:
Yolanda Raquel Baca Gómez, Hugo Estrada Esquivel, Alicia Martínez Rebollar, Daniel Villanueva Vásquez
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 1, p 15 (2019)
Smart City applications aim to improve the quality of life of citizens. Applying technologies of the Internet of Things (IoT) to urban environments is considered as a key of the development of smart cities. In this context, air pollution is one of th
Externí odkaz:
https://doaj.org/article/e436cd032cd142a5918334d655bdf09d
Publikováno v:
Computación y Sistemas. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119bd330ddc621af80efd8d5f36c04e1
https://doi.org/10.13053/cys-26-1-4166
https://doi.org/10.13053/cys-26-1-4166
A Predictive Model for Automatic Detection of Loneliness and Social Isolation Using Machine Learning
Publikováno v:
Computación y Sistemas. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf2a5672a7b81db61c58b0cf406afa0d
https://doi.org/10.13053/cys-26-1-4157
https://doi.org/10.13053/cys-26-1-4157