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  1. Data dimensionality reduction for an optimal switching mode classification applied to a step-down power converter.Luis-Alfonso Fernandez-Serantes, José-Luis Casteleiro-Roca, Hubert Berger, Dragan Simić & José-Luis Calvo-Rolle - forthcoming - Logic Journal of the IGPL.
    A dimensional reduction algorithm is applied to an intelligent classification model with the purpose of improving the efficiency and accuracy. The proposed classification model, used to distinguish the operating mode: Hard- and Soft-Switching, is presented and an analysis of the synchronized rectified step-down converter is done. With the aim of improving the accuracy and reducing the computational cost of the model, three different methods for dimensional reduction are applied to the input dataset of the model: self-organizing maps, principal component analysis (...)
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  • Intelligent model for active power prediction of a small wind turbine.Francisco Zayas-Gato, Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián, Francisco Javier Pérez-Castelo, Andrés Piñón-Pazos, Elena Arce & José Luis Calvo-Rolle - 2023 - Logic Journal of the IGPL 31 (4):785-803.
    In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the generated power taking into account the speed and the direction of the wind, the model developed in this paper only uses the speed of the wind, measured mainly in a weather station from the government meteorological agency (MeteoGalicia). The wind speed is measured at different heights, (...)
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  • A comparative analysis of intelligent techniques to predict energy generated by a small wind turbine from atmospheric variables.Santiago Porras, Esteban Jove, Bruno Baruque & José Luis Calvo-Rolle - 2023 - Logic Journal of the IGPL 31 (4):648-663.
    The harmful consequences of fossil fuels use has resulted in the promotion of clean and renewable energies. During the past decades, green technologies have experienced a strong development, paying especial attention to wind energy, that covers a significant share of the electric energy demand. In this context, the main efforts are focused on the optimization of wind generator facilities, not only in the mechanic design but also in the energy management. Then, the present work deals with the prediction of the (...)
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  • Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia.Esteban Jove, Jose M. Gonzalez-Cava, José-Luis Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, Rafael Vega Vega, Francisco Zayas-Gato, Francisco Javier de Cos Juez, Ana León, María MartÍn, José A. Reboso, Michał Woźniak & José Luis Calvo-Rolle - 2021 - Logic Journal of the IGPL 29 (2):193-206.
    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 patients undergoing surgery. The proposal is based on the use of hybrid intelligent modelling methods. The study considers the Analgesia Nociception Index to assess the pain in the patient and remifentanil as intravenous analgesic. The model proposed is able to make a one-step-ahead prediction of the remifentanil dose corresponding to the current state (...)
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  • A hybrid machine learning system to impute and classify a component-based robot.Nuño Basurto, Ángel Arroyo, Carlos Cambra & Álvaro Herrero - 2023 - Logic Journal of the IGPL 31 (2):338-351.
    In the field of cybernetic systems and more specifically in robotics, one of the fundamental objectives is the detection of anomalies in order to minimize loss of time. Following this idea, this paper proposes the implementation of a Hybrid Intelligent System in four steps to impute the missing values, by combining clustering and regression techniques, followed by balancing and classification tasks. This system applies regression models to each one of the clusters built on the instances of data set. Subsequently, a (...)
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