Now showing items 1-20 of 29

    • A New Evolutionary Computation Technique for 2D: Morphogenesis and Information Processing 

      Fernández-Blanco, Enrique; Dorado, Julián; Rabuñal, Juan R.; Gestal, M.; Pedreira Souto, Nieves (WSEAS Press, 2007-03)
      [Abstract] Paper presents a new model that takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. This model can be related ...
    • A point-based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox 

      Carballal, Adrián; Pazos Pérez, Rafael Iván; Rodríguez-Fernández, Nereida; Santos, Iria; García-Vidaurrázaga, María D.; Rabuñal, Juan R. (Jonh Wiley & Sons, 2020)
      [Abstract]: This study explores the use of point clouds for both representation and genetic morphogenesis of complex geometry. The accurate representation of existing objects of complex curved geometry, which are subsequently ...
    • An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks 

      Rico-Díaz, Ángel-José; Rabuñal, Juan R.; Gestal, M.; Mures, Omar A.; Puertas, Jerónimo (MDPI AG, 2020-10-27)
      [Abstract] A fish can be detected by means of artificial vision techniques, without human intervention or handling the fish. This work presents an application for detecting moving fish in water by artificial vision based ...
    • Application of an Analytic Methodology to Estimate the Movements of Moored Vessels Based on Forecast Data 

      Sande, José; Figuero, A.; Tarrío-Saavedra, Javier; Peña González, Enrique; Alvarellos, Alberto; Rabuñal, Juan R. (MDPI, 2019-09)
      [Abstract]: A port’s operating capacity and the economic performance of its concessions are intimately related to the quality of its operational conditions. This paper presents an analytical methodology for estimating the ...
    • Application of scanning techniques for damage analysis in rubble mound breakwaters 

      Sande, José; Peña González, Enrique; Neves, Maria da Graça; Lemos, Rute; Figuero, A.; Reis, María Teresa; Alvarellos, Alberto; Rabuñal, Juan R. (2018)
    • Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net 

      Gestal, M.; Fernández-Blanco, Enrique; Rivero, Daniel; Vázquez-Naya, José; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)
      [Resumen] El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas, manuales, tutoriales, ...
    • Assisted surface redesign by perturbing its point cloud representation 

      Pazos Pérez, Rafael Iván; Carballal, Adrián; Rabuñal, Juan R.; Mures, Omar A.; García-Vidaurrázaga, María D. (IET, 2018-04-09)
      [Abstract] This research study explores the use of point clouds for design geometrically complex surfaces based on genetic morphogenesis. To this end, a point-based genetic algorithm and the use of massive unstructured ...
    • Automatic Seizure Detection Based on Star Graph Topological Indices 

      Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2012-08-15)
      [Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...
    • Biomedical data integration in computational drug design and bioinformatics 

      Seoane, José A.; Aguiar-Pulido, Vanessa; Munteanu, Cristian-Robert; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Bentham Science, 2013)
      [Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real ...
    • Deep Learning-Based Wave Overtopping Prediction 

      Alvarellos, Alberto; Figuero, A.; Rodríguez-Yáñez, Santiago; Sande, José; Peña González, Enrique; Rosa-Santos, Paulo; Rabuñal, Juan R. (MDPI, 2024-03-20)
      [Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ...
    • Developing a Secure Low-Cost Radon Monitoring System 

      Alvarellos, Alberto; Gestal, M.; Dorado, Julián; Rabuñal, Juan R. (MDPI AG, 2020-01-29)
      [Abstract] Radon gas has been declared a human carcinogen by the United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC). Several studies carried out in Spain ...
    • Development of an Automatic Low-Cost Air Quality Control System: A Radon Application 

      Alvarellos, Alberto; López Chao, Andrea; Rabuñal, Juan R.; García-Vidaurrázaga, María D.; Pazos, A. (MDPI, 2021-03-01)
      [Abstract] Air pollution is the fourth-largest overall risk factor for human health worldwide. Ambient air pollution (outdoors) and household air pollution (indoors) cause about 6.5 million premature deaths. The World ...
    • Dynamical Study of a Moored Vessel Using Computer Vision 

      Figuero, A.; Rodríguez, Álvaro; Peña González, Enrique; Sande, José; Rabuñal, Juan R. (Springer, 2018)
      [Abstract]: Wind and wave effects have a major impact on the design of mooring and anchoring systems, whose purpose is to prevent the movement of the cargo and the moored ship while optimizing the operations which have to ...
    • Evolutionary Computation and QSAR Research 

      Aguiar-Pulido, Vanessa; Gestal, M.; Cruz-Monteagudo, Maykel; Rabuñal, Juan R.; Dorado, Julián; Munteanu, Cristian-Robert (Bentham Science, 2013)
      [Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ...
    • 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 ...
    • 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 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 ...
    • 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 ...