Search Results - "Michaelides, Silas C."

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  1. 1

    Multifeature texture analysis for the classification of clouds in satellite imagery by Christodoulou, C.I., Michaelides, S.C., Pattichis, C.S.

    “…The aim of this work was to develop a system based on multifeature texture analysis and modular neural networks that will facilitate the automated…”
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    Journal Article
  2. 2

    Fog Research: A Review of Past Achievements and Future Perspectives by Gultepe, I., Tardif, R., Michaelides, S. C., Cermak, J., Bott, A., Bendix, J., Müller, M. D., Pagowski, M., Hansen, B., Ellrod, G., Jacobs, W., Toth, G., Cober, S. G.

    Published in Pure and applied geophysics (01-06-2007)
    “…The scientific community that includes meteorologists, physical scientists, engineers, medical doctors, biologists, and environmentalists has shown interest in…”
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  3. 3

    Absolute vorticity advection and potential vorticity of the free troposphere as synthetic tools for the diagnosis and forecasting of cyclogenesis by Prezerakos, Nicholas G., Flocas, Helena A., Michaelides, Silas C.

    Published in Atmosphere-ocean (01-03-1997)
    “…The dynamics of a case of cyclogenesis over the central Mediterranean associated with heavy precipitation, especially over the southeast Aegean Sea, have been…”
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  4. 4

    A multi-agent system for meteorological radar data management and decision support by Athanasiadis, Ioannis N., Milis, Marios, Mitkas, Pericles A., Michaelides, Silas C.

    “…The continuous processing and evaluation of meteorological radar data require significant efforts by scientists, both for data processing, storage, and…”
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    Journal Article
  5. 5

    Synoptic Classification and Establishment of Analogues with Artificial Neural Networks by Michaelides, S. C., Liassidou, F., Schizas, C. N.

    Published in Pure and applied geophysics (01-06-2007)
    “…Weather charts depicting the spatial distribution of various meteorological parameters constitute an indispensable pictorial tool for meteorologists, in…”
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  6. 6

    Classification of rainfall variability by using artificial neural networks by Michaelides, Silas Chr, Pattichis, Constantinos S., Kleovoulou, Georgia

    Published in International journal of climatology (01-09-2001)
    “…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…”
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