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ORCIDJulio Barzola-Monteses
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Journal Articles
- 2024
[j7]Franklin Parrales Bravo
, Rosangela Caicedo-Quiroz, Julio Barzola-Monteses, José Guillén-Mirabá, Otto Guzmán-Bedor:
CSM: A Chatbot Solution to Manage Student Questions About Payments and Enrollment in University. IEEE Access 12: 74669-74680 (2024)- [j6]Franklin Parrales-Bravo, Víctor Gómez-Rodríguez, Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Elena Tolozano-Benites, Leonel Vasquez-Cevallos:
From Descriptive to Prescriptive Analytics on Time Series of the Number of Preeclampsia Inpatient Beds. IEEE Access 12: 131576-131590 (2024) - [j5]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) - [j4]Gary Reyes, Roberto Tolozano-Benites, Laura Lanzarini, César Estrebou, Aurelio Fernández Bariviera, Julio Barzola-Monteses:
Method for the Identification and Classification of Zones with Vehicular Congestion. ISPRS Int. J. Geo Inf. 13(3): 73 (2024) - [j3]Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Elianne Rodríguez-Larraburu, Julio Barzola-Monteses:
ACME: A Classification Model for Explaining the Risk of Preeclampsia Based on Bayesian Network Classifiers and a Non-Redundant Feature Selection Approach. Informatics 11(2): 31 (2024) - 2022
- [j2]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) - [j1]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)
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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