[HTML][HTML] A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production

Á Arroyo, N Basurto, R Casado-Vara, M Timiraos… - Neurocomputing, 2024 - Elsevier
There is no doubt that the European Union is undergoing an ecological transition, with
renewable energies accounting for an increasing share of energy consumption in the …

Hybrid intelligent model to predict the remifentanil infusion rate in patients under general anesthesia

E Jove, JM Gonzalez-Cava… - Logic Journal of the …, 2021 - academic.oup.com
Automatic control of physiological variables is one of the most active areas in biomedical
engineering. This paper is centered in the prediction of the analgesic variables evolution in …

Fuel cell output current prediction with a hybrid intelligent system

JL Casteleiro-Roca, AJ Barragán, F Segura… - …, 2019 - Wiley Online Library
A fuel cell is a complex system, which produces electricity through an electrochemical
reaction. For the formal application of control strategies on a fuel cell, it is very important to …

Missing data imputation over academic records of electrical engineering students

E Jove, P Blanco-Rodríguez… - Logic Journal of the …, 2020 - academic.oup.com
Nowadays, the quality standards of higher education institutions pay special attention to the
performance and evaluation of the students. Then, having a complete academic record of …

A hybrid intelligent system to forecast solar energy production

N Basurto, Á Arroyo, R Vega, H Quintián… - Computers & electrical …, 2019 - Elsevier
There is wide acknowledgement that solar energy is a promising and renewable source of
electricity. However, complementary sources are sometimes required, due to its limited …

Modelling the hypnotic patient response in general anaesthesia using intelligent models

E Jove, JM Gonzalez-Cava… - Logic Journal of the …, 2019 - academic.oup.com
Current trends in modern medicine are concerned with the development of the so-called
personalized medicine whose aim is tailoring of treatment to patients. The present research …

Clustering techniques selection for a hybrid regression model: a case study based on a solar thermal system

MT García-Ordás, H Alaiz-Moretón… - Cybernetics and …, 2023 - Taylor & Francis
This work addresses the performance comparison between four clustering techniques with
the objective of achieving strong hybrid models in supervised learning tasks. A real dataset …

Comparative study of imputation algorithms applied to the prediction of student performance

C Crespo-Turrado, JL Casteleiro-Roca… - Logic Journal of the …, 2020 - academic.oup.com
Student performance and its evaluation remain a serious challenge for education systems.
Frequently, the recording and processing of students' scores in a specific curriculum have …

[HTML][HTML] An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

JL Casteleiro-Roca, H Quintián, JL Calvo-Rolle… - Journal of Applied …, 2016 - Elsevier
The heat pump with geothermal exchanger is one of the best methods to heat up a building.
The heat exchanger is an element with high probability of failure due to the fact that it is an …

Beta hebbian learning as a new method for exploratory projection pursuit

H Quintián, E Corchado - International journal of neural systems, 2017 - World Scientific
In this research, a novel family of learning rules called Beta Hebbian Learning (BHL) is
thoroughly investigated to extract information from high-dimensional datasets by projecting …