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Mayken Espinoza-Andaluz
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Journal Articles
- 2024
- [j6]Ester Melo, Julio Barzola-Monteses, Holguer H. Noriega, Mayken Espinoza-Andaluz:
Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning. Energy Inform. 7(1): 10 (2024) - 2022
- [j5]Mayken Espinoza-Andaluz, Javier Pagalo, Joseph Ávila, Julio Barzola-Monteses:
An Alternative Methodology to Compute the Geometric Tortuosity in 2D Porous Media Using the A-Star Pathfinding Algorithm. Comput. 10(4): 59 (2022) - [j4]Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo:
Hydropower production prediction using artificial neural networks: an Ecuadorian application case. Neural Comput. Appl. 34(16): 13253-13266 (2022) - 2020
- [j3]Mayken Espinoza-Andaluz, Víctor Velasco-Galarza, Alex Romero-Vera:
On hydraulic tortuosity variations due to morphological considerations in 2D porous media by using the Lattice Boltzmann method. Math. Comput. Simul. 169: 74-87 (2020) - 2019
- [j2]Mayken Espinoza-Andaluz, Ayrton Moyón, Martin Andersson:
A comparative study between D2Q9 and D2Q5 lattice Boltzmann scheme for mass transport phenomena in porous media. Comput. Math. Appl. 78(9): 2886-2896 (2019) - 2017
- [j1]Mayken Espinoza-Andaluz, Martin Andersson, Bengt Sundén:
Computational time and domain size analysis of porous media flows using the lattice Boltzmann method. Comput. Math. Appl. 74(1): 26-34 (2017)
Conference and Workshop Papers
- 2023
- [c3]Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Mayken Espinoza-Andaluz, Elena Bajaña-Díaz, Rogelio Loja-Yagual, Franklin Parrales Bravo:
Prognostic Precision for Crohn's Disease Patients through Machine Learning Predictive Models. SCCC 2023: 1-6 - 2022
- [c2]Isaakc Ortiz-Aguirre, Mayken Espinoza-Andaluz, Julio Barzola-Monteses:
Ensemble Learning Models Applied in Energy Time Series of a University Building. LA-CCI 2022: 1-6 - 2020
- [c1]Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Mónica Mite-León, Manuel Flores-Morán:
Energy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study. SCCC 2020: 1-6
Coauthor Index
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last updated on 2024-08-05 21:15 CEST by the dblp team
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