Browsing 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences by Subject "Radial basis functions"

Now showing items 1-11 of 11

    • Article  

      Automatic Landmark Location for Analysis of Cardiac MRI Images 

      Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2012)
      This paper addresses the problem of automatic location of landmarks used for the analysis of MRI cardiac images. Typically the landmarks of shapes in MRI images are located manually which is a time consuming process requiring ...
    • Article  

      Conformal Mapping for the Efficient Solution of Poisson Problems with the Kansa-RBF Method 

      Liu, X. -Y; Chen, C. S.; Karageorghis, Andreas (2017)
      We consider the solution of Poisson Dirichlet problems in simply-connected irregular domains. These domains are conformally mapped onto the unit disk and the resulting Poisson Dirichlet problems are solved efficiently using ...
    • Article  

      Isolating stock prices variation with neural networks 

      Draganova, C.; Lanitis, A.; Christodoulou, Chris C. (2009)
      In this study we aim to define a mapping function that relates the general index value among a set of shares to the prices of individual shares. In more general terms this is problem of defining the relationship between ...
    • Article  

      A Kansa-Radial Basis Function Method for Elliptic Boundary Value Problems in Annular Domains 

      Liu, X. -Y; Karageorghis, Andreas; Chen, C. S. (2015)
      We employ a Kansa-radial basis function (RBF) method for the numerical solution of elliptic boundary value problems in annular domains. This discretization leads, with an appropriate selection of collocation points and for ...
    • Article  

      Kansa-RBF algorithms for elliptic problems in axisymmetric domains 

      Karageorghis, Andreas; Chen, C. S.; Liu, X. -Y (2016)
      We employ a Kansa-radial basis function method for the numerical solution of elliptic boundary value problems in three-dimensional axisymmetric domains. We consider problems governed by the Poisson equation, the inhomogeneous ...
    • Conference Object  

      A Kansa-RBF method for Poisson problems in annular domains 

      Karageorghis, Andreas; Chen, C. S. (WITPress, 2014)
      We employ a Kansa-radial basis function (RBF) method for Poisson boundary value problems in annular domains. This discretization leads, for any choice of RBF, to linear system matrices possessing block circulant structures. ...
    • Article  

      Matrix decomposition RBF algorithm for solving 3D elliptic problems 

      Karageorghis, Andreas; Chen, C. S.; Smyrlis, Yiorgos-Sokratis (2009)
      In this study, we propose an efficient algorithm for the evaluation of the particular solutions of three-dimensional inhomogeneous elliptic partial differential equations using radial basis functions. The collocation points ...
    • Article  

      A matrix decomposition RBF algorithm: Approximation of functions and their derivatives 

      Karageorghis, Andreas; Chen, C. S.; Smyrlis, Yiorgos-Sokratis (2007)
      We propose an efficient algorithm for the approximation of functions and their derivatives using radial basis functions (RBFs). The interpolation points are placed on concentric circles and the resulting matrix has a block ...
    • Article  

      Neural network methods for one-to-many multi-valued mapping problems 

      Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2011)
      An investigation of the applicability of neural network-based methods in predicting the values of multiple parameters, given the value of a single parameter within a particular problem domain is presented. In this context, ...
    • Article  

      A neural-networks-based adaptive disturbance rejection method and its application to the control of hard disk drives 

      Levin, J.; Pérez-Arancibia, N. O.; Ioannou, Petros A.; Tsao, T. -C (2009)
      This paper presents a neural-networks-based disturbance rejection adaptive scheme for dealing with repeatable and nonrepeatable runout simultaneously. The effectiveness of this method is demonstrated empirically on a ...
    • Article  

      One-to-many neural network mapping techniques for face image synthesis 

      Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2012)
      This paper investigates the performance of neural network-based techniques applied to the problem of defining the relationship between a particular type of variation in face images and the multivariate data distributions ...