Mayken Espinoza-Andaluz

According to our database, Mayken Espinoza-Andaluz authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning.

Ester Melo, Julio Barzola-Monteses, Holguer H. Noriega, Mayken Espinoza-Andaluz

Energy Inform., December, 2024

From 2D to 3D: Computational Methods for Analyzing Porous Electrode Structures in Fuel Cells.

Mayken Espinoza-Andaluz, Joseph Ávila, Julio Barzola-Monteses, Martin Andersson

Proceedings of the 43rd International Conference of the Chilean Computer Science Society, 2024

Energy Consumption of a Building Using the XGBoost Algorithm: A Forecasting Study.

Julio Barzola-Monteses, Franklin Parrales-Bravo, Vicente Macas-Espinosa, Gabriel Bórquez-Vargas, Mayken Espinoza-Andaluz

Proceedings of the 43rd International Conference of the Chilean Computer Science Society, 2024

2023

Prognostic Precision for Crohn's Disease Patients through Machine Learning Predictive Models.

Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Mayken Espinoza-Andaluz, Elena Bajaña-Díaz, Rogelio Loja-Yagual, Franklin Parrales Bravo

Proceedings of the 42nd IEEE International Conference of the Chilean Computer Science Society, 2023

2022

Hydropower production prediction using artificial neural networks: an Ecuadorian application case.

Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo

Neural Comput. Appl., 2022

An Alternative Methodology to Compute the Geometric Tortuosity in 2D Porous Media Using the A-Star Pathfinding Algorithm.

Mayken Espinoza-Andaluz, Javier Pagalo, Joseph Ávila, Julio Barzola-Monteses

Comput., 2022

Ensemble Learning Models Applied in Energy Time Series of a University Building.

Isaakc Ortiz-Aguirre, Mayken Espinoza-Andaluz, Julio Barzola-Monteses

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

2020

On hydraulic tortuosity variations due to morphological considerations in 2D porous media by using the Lattice Boltzmann method.

Mayken Espinoza-Andaluz, Víctor Velasco-Galarza, Alex Romero-Vera

Math. Comput. Simul., 2020

Energy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study.

Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Mónica Mite-León, Manuel Flores-Morán

Proceedings of the 39th International Conference of the Chilean Computer Science Society, 2020

2019

A comparative study between D2Q9 and D2Q5 lattice Boltzmann scheme for mass transport phenomena in porous media.

Mayken Espinoza-Andaluz, Ayrton Moyón, Martin Andersson

Comput. Math. Appl., 2019

2017

Computational time and domain size analysis of porous media flows using the lattice Boltzmann method.

Mayken Espinoza-Andaluz, Martin Andersson, Bengt Sundén

Comput. Math. Appl., 2017