Listar por autor "Rabuñal, Juan R."
Mostrando ítems 21-40 de 44
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Example-Based Learning: Development of Business Applications witn .Net Technologies
Gestal, M.; Vázquez-Naya, José; Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)[Abstract] For a long time, J2EE has been the dominating framework for the development of business applications. This fact resulted in a rich ecosystem of tools, manuals, tutorials, etc. that explain different implementation ... -
Field measurements of angular motions of a vessel at berth: Inertial device application
Figuero, A.; Rodriguez, Alvaro; Peña González, Enrique; Rabuñal, Juan R. (Romanian Soc Control Tech Informatics, 2018)[Abstract]: The study and characterization of the oscillations of a moored vessel has a major importance in port operational efficiency, not only in the design of mooring and anchoring systems, but also in order to prevent ... -
Genetic programming to improvement FIB model: bond and anchorage of reinforcing steel in structural concrete
Pérez, Juan Luis; Vieito, Ismael; Rabuñal, Juan R.; Martínez-Abella, Fernando (Springer, 2013)[Abstract] Starting from the FIB database, this work is aimed to analyze the current equations which predict the main datum that can be provided by bond tests: the ultimate bar stress when the failure is reached. Furthermore, ... -
Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection Within Fruit Juice Classification
Fernández-Lozano, Carlos; Canto, C.; Gestal, M.; Andrade-Garda, José Manuel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Hindawi, 2013-10-21)[Abstract] Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines ... -
Machine Learning Based Moored Ship Movement Prediction
Alvarellos, Alberto; Figuero, A.; Carro Fidalgo, Humberto; Costas Gómez, Raquel; Sande, José; Guerra, Andrés; Peña González, Enrique; Rabuñal, Juan R. (MDPI, 2021)[Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) ... -
Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia
Aguiar-Pulido, Vanessa; Seoane, José A.; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Molecular Diversity Preservation International, 2010)[Abstract] Single nucleotide polymorphisms (SNPs) can be used as inputs in disease computational studies such as pattern searching and classification models. Schizophrenia is an example of a complex disease with an important ... -
Machine Learning-Based Radon Monitoring System
Valcarce, Diego; Alvarellos, Alberto; Rabuñal, Juan R.; Dorado, Julián; Gestal, M. (MDPI, 2022)[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ... -
Mejora continua de la calidad de la docencia a partir del análisis de los resultados de evaluación
Gestal, M.; Fernán, Carlos; Munteanu, Cristian-Robert; Rabuñal, Juan R.; Dorado, Julián (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)[Resumen] El objetivo de cualquier docente debería ser la mejora continua en sus materias. En este trabajo se muestra una aproximación para adecuar las enseñanzas a aquellos aspectos más necesarios dentro de una materia. ... -
Metodología para el desarrollo de sistemas de extracción de concimiento en RNA
Rabuñal, Juan R. (2002)[Resumen] Las Redes de Neuronas Artificiales (RR,NN.AA.) son de fácil implementación y utilización, así como otras características que las hacen idóneas para resolver problemas en muchos campos, sin embargo muchos ... -
Modeling of energy efficiency for residential buildings using artificial neuronal networks
Álvarez Díaz, José Antonio; Rabuñal, Juan R.; García-Vidaurrázaga, María D.; Alvarellos, Alberto; Pazos, A. (Hindawi, 2018-11-28)[Abstract] Increasing the energy efficiency of buildings is a strategic objective in the European Union, and it is the main reason why numerous studies have been carried out to evaluate and reduce energy consumption in the ... -
Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction
Barreiro, Enrique; Munteanu, Cristian-Robert; Gestal, M.; Rabuñal, Juan R.; Pazos, A.; González-Díaz, Humberto; Dorado, Julián (MDPI, 2020-02-14)[Abstract] Brain Connectome Networks (BCNs) are defined by brain cortex regions (nodes) interacting with others by electrophysiological co-activation (edges). The experimental prediction of new interactions in BCNs ... -
Obtendo información útil para a mellora dunha materia a partir dos resultados dos exames de resposta múltiple
Gestal, M.; Munteanu, Cristian-Robert; Rabuñal, Juan R.; Dorado, Julián (Universidade da Coruña, Cufie, 2019)[Resumo] Os procesos de avaliación, deben aplicarse ós docentes e mesmo á materia en si, non só ós alumnos. Con esta finalidade formúlase unha análise dos resultados acadados polo alumnado durante a proba de avaliación ... -
Operational thresholds of moored ships at the oil terminal of inner port of A Coruña (Spain)
Figuero, A.; Sande, José; Peña González, Enrique; Alvarellos, Alberto; Rabuñal, Juan R.; Maciñeira, Enrique (Elsevier, 2019-12-21)[Abstract] Minimizing the stay of a vessel in port can lead to improvements in harbor efficiency. Currently, downtimes of cargo operations or their performance reduction because of excessive vessel motion are especially ... -
Optimization of existing equations using a new genetic programming algorithm: application to the shear strength of reinforced concrete beams
Pérez, Juan L.; Cladera, Antoni; Rabuñal, Juan R.; Martínez-Abella, Fernando (Elsevier, 2012-03-13)[Abstract] A method based on Genetic Programming (GP) to improve previously known empirical equations is presented. From a set of experimental data, the GP may improve the adjustment of such formulas through the symbolic ... -
Pool-Type FishDesign for a Potamodromous Cyprinid in the Iberian Peninsula: The Iberian Barbel—Synthesis and Future Directions
Silva, Ana T.; Bermúdez, María; Santos, José Maria; Rabuñal, Juan R.; Puertas, Jerónimo (M D P I AG, 2020-04-21)[Abstract] The Iberian barbel (Luciobarbus bocagei) is one of the most common cyprinids in the Iberian Peninsula, whose migratory routes are often hampered by anthropogenic barriers. Fishways might be an effective mitigation ... -
PRACTICUM DIRECT Simulator for Decision Making during Pandemics
Puente-Castro, Alejandro; Galdo, Brais; Said-Criado, Ismael; Baltar Boileve, David; Rabuñal, Juan R.; Pazos, A.; Martínez Pillado, Modesto (MDPI, 2021)[Abstract] The past and current situation of the SARS-CoV-2 pandemic has put the entire society, and especially all hospital systems, worldwide to the test. It is essential that health system managers and decision makers ... -
Predicting Inflow Flow in Hydraulic Dams Using Artificial Neural Networks
Fernández Sáchez, Alberto; Rabuñal, Juan R.; Cebrián Rivero, Daniel; Pazos, A.; Gestal, M.; Cea, Luis (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Accurate prediction of inflow in dams plays a crucial role in water resource management Kim et al. (2019); Vargas-Garay et al. (2018); Zhong et al. (2018) and risk mitigation Costabile et al. (2020); Rabuñal et ... -
Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
Pazos Pérez, Rafael Iván; Carballal, Adrián; Rabuñal, Juan R.; Mures, Omar A.; García-Vidaurrázaga, María D. (American Society of Civil Engineers, 2018-03)[Abstract] This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo’s Minato Ward is used as a case study because it has been one of the ... -
Pure Mode I Fracture Toughness Determination in Rocks Using a Pseudo-Compact Tension (pCT) Test Approach
Muñoz-Ibáñez, Andrea; Delgado Martín, Jordi; Costas, Miguel; Rabuñal, Juan R.; Alvarellos-Iglesias, José; Canal, Jacobo (Springer Nature, 2020-07)[Absctract]: Mode I fracture toughness (KIC) quantifies the ability of a material to withstand crack initiation and propagation due to tensile loads. The International Society for Rock Mechanics (ISRM) has proposed four ... -
Raspberry Pimu: Raspberry Pi based inertial sensor data processing system
Alvarellos, Alberto; Vázquez, Adrián; Rabuñal, Juan R. (MDPI, 2018-09-18)