13 found
Order:
  1.  7
    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.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  2.  7
    A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine.Jose M. Gonzalez-Cava, José Antonio Reboso, José Luis Casteleiro-Roca, José Luis Calvo-Rolle & Juan Albino Méndez Pérez - 2018 - Complexity 2018:1-15.
    One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on feedback variables. However, when the variable of interest cannot be directly measured or there is a lack of knowledge behind the process, it turns into a difficult issue to solve. In this research, a novel algorithm to approach this problem is presented. The main objective of this study (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  3.  11
    An Intelligent Fault Detection System for a Heat Pump Installation Based on a Geothermal Heat Exchanger.José Luis Casteleiro-Roca, Héctor Quintián, José Luis Calvo-Rolle, Emilio Corchado, María del Carmen Meizoso-López & Andrés Piñón-Pazos - 2016 - Journal of Applied Logic 17:36-47.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  4.  9
    Gaining Deep Knowledge of Android Malware Families Through Dimensionality Reduction Techniques.Rafael Vega Vega, Héctor Quintián, José Luís Calvo-Rolle, Álvaro Herrero & Emilio Corchado - 2019 - Logic Journal of the IGPL 27 (2):160-176.
  5.  7
    Simplified Method Based on an Intelligent Model to Obtain the Extinction Angle of the Current for a Single-Phase Half Wave Controlled Rectifier with Resistive and Inductive Load.José Luis Calvo-Rolle, Héctor Quintian-Pardo, Emilio Corchado, María del Carmen Meizoso-López & Ramón Ferreiro García - 2015 - Journal of Applied Logic 13 (1):37-47.
  6.  7
    Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics.Carlos González-Gutiérrez, María Luisa Sánchez-Rodríguez, José Luis Calvo-Rolle & Francisco Javier de Cos Juez - 2018 - Complexity 2018:1-9.
    Aberrations introduced by the atmospheric turbulence in large telescopes are compensated using adaptive optics systems, where the use of deformable mirrors and multiple sensors relies on complex control systems. Recently, the development of larger scales of telescopes as the E-ELT or TMT has created a computational challenge due to the increasing complexity of the new adaptive optics systems. The Complex Atmospheric Reconstructor based on Machine Learning is an algorithm based on artificial neural networks, designed to compensate the atmospheric turbulence. During (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  7.  4
    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 (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  8.  6
    Simplified Method Based on an Intelligent Model to Obtain the Extinction Angle of the Current for a Single-Phase Half Wave Controlled Rectifier with Resistive and Inductive Load.José Luis Calvo-Rolle, Héctor Quintian-Pardo, Emilio Corchado, María del Carmen Meizoso-López & Ramón Ferreiro García - 2015 - Journal of Applied Logic 13 (2):167.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  9.  2
    Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance.Concepción Crespo-Turrado, José Luis Casteleiro-Roca, Fernando Sánchez-Lasheras, José Antonio López-Vázquez, Francisco Javier De Cos Juez, Francisco Javier Pérez Castelo, José Luis Calvo-Rolle & Emilio Corchado - forthcoming - Logic Journal of the IGPL.
    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 several flaws for various reasons. In this context, the absence of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach conclusions. When this is the case, missing data imputation algorithms are needed. These algorithms are capable of substituting, with a high level of accuracy, the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  10.  5
    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 - forthcoming - Logic Journal of the IGPL.
    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 (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  11.  5
    Special Issue SOCO12.Álvaro Herrero, Václav Snášel, Ajith Abraham, Ivan Zelinka, Bruno Baruque, Héctor Quintián, José Luis Calvo-Rolle, Javier Sedano, Andre de Carlvalho & Emilio Corchado - 2015 - Journal of Applied Logic 13 (2):91-93.
  12. A One-Class Classifier Based on a Hybrid Topology to Detect Faults in Power Cells.Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián, Francisco Zayas-Gato, Gianni Vercelli & José Luis Calvo-Rolle - forthcoming - Logic Journal of the IGPL.
    The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation must follow a thorough test process to check their features at different operating points. In this circumstance, the appearance of any kind of deviation from the expected operation must be detected. This research deals with real data registered during the testing phase of a lithium iron (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  13.  12
    Delving Into Android Malware Families with a Novel Neural Projection Method.Rafael Vega Vega, Héctor Quintián, Carlos Cambra, Nuño Basurto, Álvaro Herrero & José Luis Calvo-Rolle - 2019 - Complexity 2019:1-10.
    Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for dimensionality-reduction, namely, Beta Hebbian Learning, is applied to visually analyze such malware. Additionally, well-known supervised Decision Trees are also applied for the first time in order to improve characterization of such families and compare the original features that are identified as the most important ones. The proposed techniques are validated when facing real-life Android malware data by (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark