Mayken Espinoza-Andaluz

14 papers C 3Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2024 C conf
Discovering the Influence of the Metaverse in Experiential Learning - A Literature Review.
FIE
Abdon Carrera Rivera, Gabriel Carrera-Rivera, Mayken Espinoza-Andaluz
2024 — conf
Energy Consumption of a Building Using the XGBoost Algorithm: A Forecasting Study.
SCCC
Julio Barzola-Monteses, Franklin Parrales-Bravo, Vicente Macas-Espinosa, Gabriel Bórquez-Vargas, Mayken Espinoza-Andaluz
2024 J jnl
Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning.
Energy Inform.
Ester Melo, Julio Barzola-Monteses, Holguer H. Noriega, Mayken Espinoza-Andaluz
2024 C conf
Enhancing Pre-Class Content Learning in a Flipped Classroom: An Experimental Study of the Benefits of Note-Taking.
FIE
Alex Romero-Vera, Victor Guarochico-Moreira, Víctor Velasco-Galarza, Mayken Espinoza-Andaluz, Sharon Guaman-Quintanilla, Katherine Chiluiza
2024 — conf
From 2D to 3D: Computational Methods for Analyzing Porous Electrode Structures in Fuel Cells.
SCCC
Mayken Espinoza-Andaluz, Joseph Ávila, Julio Barzola-Monteses, Martin Andersson
2024 C conf
The Current Status of Guided Note-Taking: What we Know and what we have yet to Learn.
FIE
Victor Guarochico-Moreira, Alex Romero-Vera, Víctor Velasco-Galarza, Mayken Espinoza-Andaluz, Sharon Guaman-Quintanilla, Margarita Ortiz-Rojas
2023 — conf
Prognostic Precision for Crohn's Disease Patients through Machine Learning Predictive Models.
SCCC
Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Mayken Espinoza-Andaluz, Elena Bajaña-Díaz, Rogelio Loja-Yagual, Franklin Parrales Bravo
2022 J jnl
An Alternative Methodology to Compute the Geometric Tortuosity in 2D Porous Media Using the A-Star Pathfinding Algorithm.
Comput.
Mayken Espinoza-Andaluz, Javier Pagalo, Joseph Ávila, Julio Barzola-Monteses
2022 — conf
Ensemble Learning Models Applied in Energy Time Series of a University Building.
LA-CCI
Isaakc Ortiz-Aguirre, Mayken Espinoza-Andaluz, Julio Barzola-Monteses
2022 J jnl
Hydropower production prediction using artificial neural networks: an Ecuadorian application case.
Neural Comput. Appl.
Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo
2020 — conf
Energy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study.
SCCC
Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Mónica Mite-León, Manuel Flores-Morán
2020 J jnl
On hydraulic tortuosity variations due to morphological considerations in 2D porous media by using the Lattice Boltzmann method.
Math. Comput. Simul.
Mayken Espinoza-Andaluz, Víctor Velasco-Galarza, Alex Romero-Vera
2019 J jnl
A comparative study between D2Q9 and D2Q5 lattice Boltzmann scheme for mass transport phenomena in porous media.
Comput. Math. Appl.
Mayken Espinoza-Andaluz, Ayrton Moyón, Martin Andersson
2017 J jnl
Computational time and domain size analysis of porous media flows using the lattice Boltzmann method.
Comput. Math. Appl.
Mayken Espinoza-Andaluz, Martin Andersson, Bengt Sundén