Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Frank Florez"'
Autor:
Frank Florez, Jesús Alejandro Alzate-Grisales, Pedro Fernández de Córdoba, John Alexander Taborda-Giraldo
Publikováno v:
Energies, Vol 16, Iss 6, p 2693 (2023)
Asymmetric thermal zones or even non-rectangular structures are common in residential buildings. These types of structures are not easy to model with specialized programs, and it is difficult to know the heat flows and the relationships between the d
Externí odkaz:
https://doaj.org/article/40ccc967093b4a2c9261129cd4aaf79a
Autor:
Pedro Fernández de Córdoba, Frank Florez Montes, Miguel E. Iglesias Martínez, Jose Guerra Carmenate, Romeo Selvas, John Taborda
Publikováno v:
Energies, Vol 16, Iss 5, p 2247 (2023)
The generation of mathematical models for the analysis of buildings with multiple thermal zones is a large and complex task. Furthermore, the order and complexity of the dynamical model are increased by the number of included thermal zones. To overco
Externí odkaz:
https://doaj.org/article/51779387f9774a8c95edbbbf67aba80e
Autor:
Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortíz, Melvin Robinson, Pablo Guillen-Rondon, Reinel Tabares-Soto
Publikováno v:
PeerJ Computer Science, Vol 7, p e798 (2021)
Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems. This work presents the performance of different artificial intelligence models to classify
Externí odkaz:
https://doaj.org/article/e1d8468b25c0456492404d1fa7d1a9e8
Autor:
Frank Florez, Pedro Fernández-de-Córdoba, John Taborda, Juan Carlos Castro-Palacio, José Luis Higón-Calvet, M. Jezabel Pérez-Quiles
Publikováno v:
Mathematics, Vol 9, Iss 6, p 663 (2021)
Non-conventional thermal zones are low-cost and ecology friendly alternatives to the housing needs of populations in various situations, such as surviving natural disasters or addressing homelessness. However, it is necessary to guarantee thermal com
Externí odkaz:
https://doaj.org/article/504bc3ee59294635b5d87bb72ce27062
Autor:
Frank Florez, Pedro Fernández de Cordoba, John Taborda, Miguel Polo, Juan Carlos Castro-Palacio, María Jezabel Pérez-Quiles
Publikováno v:
Mathematics, Vol 8, Iss 6, p 902 (2020)
The analysis and modeling of unconventional thermal zones is a first step for the inclusion of low-cost spaces and for the assessment of the environmental impact among areas of human use in warm climates. In this paper, the heat transfer in a geodesi
Externí odkaz:
https://doaj.org/article/f64bfc020d7e4fbb92d120541c33f20c
Publikováno v:
Mathematics, Vol 7, Iss 6, p 503 (2019)
To reduce the energy consumption in buildings is necessary to analyze individual rooms and thermal zones, studying mathematical models and applying new control techniques. In this paper, the design, simulation and experimental evaluation of a sliding
Externí odkaz:
https://doaj.org/article/8e45f56305e645e2b0deeed74e4d28f2
Autor:
Fernández de Córdoba, Pedro1 (AUTHOR), Montes, Frank Florez2 (AUTHOR) frankflorezm@autonoma.edu.co, Martínez, Miguel E. Iglesias1 (AUTHOR), Carmenate, Jose Guerra1 (AUTHOR), Selvas, Romeo3 (AUTHOR), Taborda, John4 (AUTHOR)
Publikováno v:
Energies (19961073). Mar2023, Vol. 16 Issue 5, p2247. 22p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Pedro Fernández de Córdoba, Frank Florez Montes, J. Alberto Conejero, José Luis Higón Calvet, Jose-Luis Poza-Lujan
Publikováno v:
Thermal Science, Vol 24, Iss 3 Part A, Pp 1885-1892 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] Smart control systems and new technologies are necessary to reduce the energy consumption in buildings while achieving thermal comfort. In this work, we monitor the thermal evolution inside a scale reduced closed space whose exterior and/or inte
Autor:
Frank Florez, Melvin Robinson, Simon Orozco-Arias, Reinel Tabares-Soto, Pablo Guillen-Rondon, Alejandro Mora-Rubio, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Mario Alejandro Bravo-Ortiz, Melissa delaPava, Harold Brayan Arteaga-Arteaga
Publikováno v:
PeerJ Computer Science, Vol 7, p e798 (2021)
PeerJ Computer Science
PeerJ Computer Science
Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems. This work presents the performance of different artificial intelligence models to classify