Publicaciones en colaboración con investigadores/as de Universidade de Vigo (18)

2020

  1. Real-time tomographic reconstructor based on convolutional neural networks for solar observation

    Mathematical Methods in the Applied Sciences

2019

  1. A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines

    Journal of Computational and Applied Mathematics, Vol. 346, pp. 184-191

  2. Multiscale supervised classification of point clouds with urban and forest applications

    Sensors (Switzerland), Vol. 19, Núm. 20

2018

  1. Geographically Weighted Principal Components Analysis to assess diffuse pollution sources of soil heavy metal: Application to rough mountain areas in Northwest Spain

    Geoderma, Vol. 311, pp. 120-129

2014

  1. Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process

    Applied Mathematics and Computation, Vol. 227, pp. 164-170

2013

  1. Forecasting SO2 pollution incidents by means of Elman artificial neural networks and ARIMA models

    Abstract and Applied Analysis, Vol. 2013

  2. Investigating the dynamics of fission with low-fissility highly-excited nuclei

    EPJ Web of Conferences

  3. Nonlinear air quality modeling using support vector machines in Gijón urban area (Northern Spain) at local scale

    International Journal of Nonlinear Sciences and Numerical Simulation, Vol. 14, Núm. 5, pp. 291-305

  4. Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain)

    Water Resources Management, Vol. 27, Núm. 9, pp. 3457-3476

  5. Viscous fingering instabilities in reactive miscible media

    Numerical Methods for Hyperbolic Equations: Theory and Appl., An Int. Conf. to Honour Professor E.F. Toro - Proc. of the Int. Conf. on Numerical Methods for Hyperbolic Equations: Theory and Appl.

2012

  1. Comparison of GPS observations made in a forestry setting using functional data analysis

    International Journal of Computer Mathematics

2011

  1. Determining vine leaf water stress by functional data analysis

    International Journal of Computer Mathematics

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

  2. The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process

    Mathematical and Computer Modelling, Vol. 52, Núm. 7-8, pp. 1169-1176

2009

  1. Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women

    Mathematical and Computer Modelling, Vol. 50, Núm. 5-6, pp. 673-679

  2. Study of posterolateral lumbar arthrodesis by means of a finite element model

    Mathematical and Computer Modelling, Vol. 50, Núm. 5-6, pp. 680-694

2002

  1. Prediction of global daily solar radiation using higher order statistics

    Renewable Energy, Vol. 27, Núm. 4, pp. 647-666

  2. Prediction of the properties of Spanish lignocellulosic briquettes by means of dispersive X-ray fluorescence

    Renewable Energy, Vol. 27, Núm. 4, pp. 575-584