From Descriptive to Prescriptive Analytics on Time Series: Studying the Number of Preeclampsia Inpatient Beds

F Parrales-Bravo, V Gómez-Rodríguez… - IEEE …, 2024 - ieeexplore.ieee.org
One of the most common causes of maternal deaths during pregnancy is preeclampsia. It is
therefore important to analyze the resources needed to provide timely care and thus avoid …

Clustering-based approach for characterization of patients with preeclampsia using a non-redundant feature selection

F Parrales-Bravo, J Saltos-Cedeño… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Preeclampsia is one of the most frequent causes of maternal death during pregnancy.
Knowing the characteristics of the patients can help to better distribute clinical care within …

Comparisons of deep learning models to predict energy consumption of an educational building

J Barzola-Monteses, W Yanez-Pazmino… - … and Applied Network …, 2022 - ieeexplore.ieee.org
According to the latest United Nations Environment Programme report, in 2020, the
construction and operation of buildings globally accounted for more than a third (36%) of …

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

E Melo, J Barzola-Monteses, HH Noriega… - Energy …, 2024 - Springer
The growing energy demand and population raising require alternative, clean, and
sustainable energy systems. During the last few years, hydrogen energy has proven to be a …

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

I Ortiz-Aguirre, M Espinoza-Andaluz… - 2022 IEEE Latin …, 2022 - ieeexplore.ieee.org
During 2020, the construction and operation of buildings globally accounted for more than a
third (36%) of final energy used and 37% of carbon dioxide emissions. Hence, in the last …