Paulino José García Nieto-rekin lankidetzan egindako argitalpenak (13)

2022

  1. Functional Data Analysis for the Detection of Outliers and Study of the Effects of the COVID-19 Pandemic on Air Quality: A Case Study in Gijón, Spain

    Mathematics, Vol. 10, Núm. 14

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

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

2011

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

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

2010

  1. Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model

    Mathematical and Computer Modelling, Vol. 52, Núm. 7-8, pp. 1177-1184

2007

  1. Machine learning techniques applied to the determination of road suitability for the transportation of dangerous substances

    Journal of Hazardous Materials, Vol. 147, Núm. 1-2, pp. 60-66

2006

  1. A mathematical approach to selective scavenging of the different classes of typical atmospheric aerosols by rainout and health impact

    Environmental Technology, Vol. 27, Núm. 3, pp. 337-348