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)

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)

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 (SCCC, 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)

Ensemble Learning Models Applied in Energy Time Series of a University Building. - Isaakc Ortiz-Aguirre; Mayken Espinoza-Andaluz; Julio Barzola-Monteses (LA-CCI, 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)

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)

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 (SCCC, 2023)

The Current Status of Guided Note-Taking: What we Know and what we have yet to Learn. - Victor Guarochico-Moreira; Alex Romero-Vera; Víctor Velasco-Galarza; Mayken Espinoza-Andaluz; Sharon Guaman-Quintanilla; Margarita Ortiz-Rojas (FIE, 2024)

Discovering the Influence of the Metaverse in Experiential Learning - A Literature Review. - Abdon Carrera Rivera; Gabriel Carrera-Rivera; Mayken Espinoza-Andaluz (FIE, 2024)

Enhancing Pre-Class Content Learning in a Flipped Classroom: An Experimental Study of the Benefits of Note-Taking. - Alex Romero-Vera; Victor Guarochico-Moreira; Víctor Velasco-Galarza; Mayken Espinoza-Andaluz; Sharon Guaman-Quintanilla; Katherine Chiluiza (FIE, 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 (SCCC, 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 (SCCC, 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., 2024)