Centro Universitario de la Defensa-ko ikertzaileekin lankidetzan egindako argitalpenak (14)

2016

  1. Prediction of five softwood paper properties from its density using support vector machine regression techniques

    BioResources, Vol. 11, Núm. 1, pp. 1892-1904

2015

  1. Using apparent density of paper from hardwood kraft pulps to predict sheet properties, based on unsupervised classification and multivariable regression techniques

    BioResources, Vol. 10, Núm. 3, pp. 5920-5931

2014

  1. Air quality parameters outliers detection using functional data analysis in the Langreo urban area (Northern Spain)

    Applied Mathematics and Computation, Vol. 241, pp. 1-10

  2. Analysis and detection of functional outliers in water quality parameters from different automated monitoring stations in the Nalón River Basin (Northern spain)

    Environmental Science and Pollution Research, Vol. 22, Núm. 1, pp. 387-396

  3. New methodology to determine air quality in urban areas based on runs rules for functional data

    Atmospheric Environment, Vol. 83, pp. 185-192

  4. Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern Spain

    Water Resources Management, Vol. 28, Núm. 2, pp. 319-331

2013

  1. Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain)

    Ecological Engineering, Vol. 60, pp. 60-66

  2. Analysis of cyanotoxins presence from experimental cyanobacteria concentrations in the trasona reservoir (Northern Spain) using support vector regression

    International Journal of Nonlinear Sciences and Numerical Simulation, Vol. 14, Núm. 2, pp. 103-112

2012

  1. Detection of outliers in water quality monitoring samples using functional data analysis in San Esteban estuary (Northern Spain)

    Science of the Total Environment, Vol. 439, pp. 54-61

  2. Study of the influence of forest canopies on the accuracy of GPS measurements by using genetic algorithms

    Handbook of Genetic Algorithms: New Research (Nova Science Publishers, Inc.), pp. 229-240

  3. Support vector machines and neural networks used to evaluate paper manufactured using Eucalyptus globulus

    Applied Mathematical Modelling, Vol. 36, Núm. 12, pp. 6137-6145

  4. Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus

    Applied Mathematics and Computation, Vol. 219, Núm. 2, pp. 755-763

2011

  1. Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms

    Mathematical and Computer Modelling, Vol. 54, Núm. 7-8, pp. 1829-1834

  2. Detection of outliers in gas emissions from urban areas using functional data analysis

    Journal of Hazardous Materials, Vol. 186, Núm. 1, pp. 144-149