• Article  

      Sensitivity analysis of a neural network used for the forecasting of electric power load 

      Neocleous, Costas K.; Papazoglou, Thales M.; Schizas, Christos N.; Stratakis, Dimitrios I. (1999)
      A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...
    • Article  

      The significance of affectors and affectees correlations for branch prediction 

      Sazeides, Yiannakis; Moustakas, Andreas; Constantinides, Kypros; Kleanthous, Marios M. (2008)
      This work investigates the potential of direction-correlations to improve branch prediction. There are two types of direction- correlation: affectors and affectees. This work considers for the first time their implications ...
    • Article  

      Spatial models for variability of significant wave height in world oceans 

      Baxevani, Anastassia; Borgel, C.; Rychlik, I. (2008)
      Significant wave height (Hs) is a measure of the variability of the ocean surface. Benefits from knowing the spatial and temporal characteristics of this field are multiple: It is useful to size offshore structures, to ...
    • Article  

      Unit root testing via the stationary bootstrap 

      Parker, C.; Paparoditis Efstathios, E.; Politis, Dimitris Nicolas (2006)
      A nonparametric, residual-based stationary bootstrap procedure is proposed for unit root testing in a time series. The procedure generates a pseudoseries which mimics the original, but ensures the presence of a unit root. ...
    • Article  

      Unit root testing via the stationary bootstrapAAA 

      Parker, C.; Paparoditis Efstathios, E.; Politis, Dimitris Nicolas (2006)
      A nonparametric, residual-based stationary bootstrap procedure is proposed for unit root testing in a time series. The procedure generates a pseudoseries which mimics the original, but ensures the presence of a unit root. ...