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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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  • One-Class-Based Intelligent Classifier for Detecting Anomalous Situations During the Anesthetic Process.Alberto Leira, Esteban Jove, Jose M. Gonzalez-Cava, José-Luis Casteleiro-Roca, Héctor Quintián, Francisco Zayas-Gato, Santiago Torres Álvarez, Svetlana Simić, Juan-Albino Méndez-Pérez & José Luis Calvo-Rolle - 2022 - Logic Journal of the IGPL 30 (2):326-341.
    Closed-loop administration of propofol for the control of hypnosis in anesthesia has evidenced an outperformance when comparing it with manual administration in terms of drug consumption and post-operative recovery of patients. Unlike other systems, the success of this strategy lies on the availability of a feedback variable capable of quantifying the current hypnotic state of the patient. However, the appearance of anomalies during the anesthetic process may result in inaccurate actions of the automatic controller. These anomalies may come from the (...)
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  • Missing data imputation over academic records of electrical engineering students.Esteban Jove, Patricia Blanco-Rodríguez, José-Luis Casteleiro-Roca, Héctor Quintián, Francisco Javier Moreno Arboleda, José Antonio LóPez-Vázquez, Benigno Antonio Rodríguez-Gómez, María Del Carmen Meizoso-López, Andrés Piñón-Pazos, Francisco Javier De Cos Juez, Sung-Bae Cho & José Luis Calvo-Rolle - 2020 - Logic Journal of the IGPL 28 (4):487-501.
    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 each student, such as number of attempts, average grade and so on, plays a key role. In this context, the existence of missing data, which can happen for different reasons, leads to affect adversely interesting future analysis. Therefore, the use of imputation techniques is presented as a helpful tool to estimate the value of missing (...)
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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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  • Machine learning techniques for computer-based decision systems in the operating theatre: application to analgesia delivery.Jose M. Gonzalez-Cava, Rafael Arnay, Juan Albino Mendez-Perez, Ana León, María Martín, Jose A. Reboso, Esteban Jove-Perez & Jose Luis Calvo-Rolle - 2021 - Logic Journal of the IGPL 29 (2):236-250.
    This work focuses on the application of machine learning techniques to assist the clinicians in the administration of analgesic drug during general anaesthesia. Specifically, the main objective is to propose the basis of an intelligent system capable of making decisions to guide the opioid dose changes based on a new nociception monitor, the analgesia nociception index. Clinical data were obtained from 15 patients undergoing cholecystectomy surgery. By means of an off-line study, machine learning techniques were applied to analyse the possible (...)
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  • Fuel Cell Output Current Prediction with a Hybrid Intelligent System.José-Luis Casteleiro-Roca, Antonio Javier Barragán, Francisca Segura, José Luis Calvo-Rolle & José Manuel Andújar - 2019 - Complexity 2019:1-10.
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