• Conference Object  

      Artificial neural networks in forecasting minimum temperature 

      Schizas, Christos N.; Michaelides, Silas C.; Pattichis, Constantinos S.; Livesay, R. R. (Publ by IEE, 1991)
      Forcasting the minimum temperature(Tmin) is one of the most important operational practices carried out by Meteorological Services worldwide. The great interest in developing methods for more accurate predictions has led ...
    • Article  

      Classification of rainfall variability by using artificial neural networks 

      Michaelides, Silas C.; Pattichis, Constantinos S.; Kleovoulou, Georgia (2001)
      In this paper, the usefulness of artificial neural networks (ANNs) as a suitable tool for the study of the medium and long-term climatic variability is examined. A method for classifying the inherent variability of climate ...
    • Conference Object  

      Classification of satellite cloud imagery based on multi-feature texture analysis and neural networks 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S.; Kyriakou, Kyriaki (2001)
      The aim of this work was to develop a system based on modular neural networks and multi-feature texture analysis that will facilitate the automated interpretation of cloud images. This will speed up the interpretation ...
    • Article  

      Multifeature Texture Analysis for the Classification of Clouds in Satellite Imagery 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S. (2003)
      The aim of this work was to develop a system based on multifeature texture analysis and modular neural networks that will facilitate the automated interpretation of satellite cloud images. Such a system will provide a ...
    • Conference Object  

      Prediction of rainfall rate based on weather radar measurements 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Gabella, M.; Pattichis, Constantinos S. (2004)
      Weather radars are used to measure the electromagnetic radiation backscattered by cloud raindrops. Clouds that backscatter more electromagnetic radiation consist of larger droplets of rain and therefore they produce more ...
    • Article  

      Synoptic classification and establishment of analogues with artificial neural networks 

      Michaelides, Silas C.; Liassidou, F.; Schizas, Christos N. (2007)
      Weather charts depicting the spatial distribution of various meteorological parameters constitute an indispensable pictorial tool for meteorologists, in diagnosing and forecasting synoptic conditions and the associated ...