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    Model Induction with Support Vector Machines: Introduction and Applications 

    Source: Journal of Computing in Civil Engineering:;2001:;Volume ( 015 ):;issue: 003
    Author(s): Yonas B. Dibike; Slavco Velickov; Dimitri Solomatine; Michael B. Abbott
    Publisher: American Society of Civil Engineers
    Abstract: The rapid advance in information processing systems in recent decades had directed engineering research towards the development of intelligent systems that can evolve models of natural phenomena automatically—“by themselves,” ...
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    Neural Networks and Fuzzy Systems in Model Based Control of the Overwaard Polder 

    Source: Journal of Water Resources Planning and Management:;2005:;Volume ( 131 ):;issue: 002
    Author(s): Arnold H. Lobbrecht; Yonas B. Dibike; Dimitri P. Solomatine
    Publisher: American Society of Civil Engineers
    Abstract: Recent developments in the field of computational intelligence (CI) techniques are helping to solve various problems of water resources modeling and management. These techniques have also shown their potential as an ...
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    Snowpack-Driven Streamflow Predictability under Future Climate: Contrasting Changes across Two Western Canadian River Basins 

    Source: Journal of Hydrometeorology:;2022:;volume( 023 ):;issue: 007:;page 1113
    Author(s): Rajesh R. Shrestha; Yonas B. Dibike; Barrie R. Bonsal
    Publisher: American Meteorological Society
    Abstract: Anthropogenic climate change–induced snowpack loss is affecting streamflow predictability, as it becomes less dependent on the initial snowpack conditions and more dependent on meteorological forecasts. We assess future ...
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