Hasil Pencarian - G. Shalev

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  1. 1
    Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets

    Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets oleh F. Kratzert, D. Klotz, G. Shalev, G. Klambauer, S. Hochreiter, G. Nearing

    Diterbitkan 2019-12-01
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  2. 2
    Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks

    Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks oleh G. S. Nearing, D. Klotz, J. M. Frame, M. Gauch, O. Gilon, F. Kratzert, A. K. Sampson, G. Shalev, S. Nevo

    Diterbitkan 2022-11-01
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  3. 3
    Hybrid forecasting: blending climate predictions with AI models

    Hybrid forecasting: blending climate predictions with AI models oleh L. J. Slater, L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, G. Shalev, C. Shen, L. Speight, G. Villarini, R. L. Wilby, A. Wood, M. Zappa

    Diterbitkan 2023-05-01
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  4. 4
    Flood forecasting with machine learning models in an operational framework

    Flood forecasting with machine learning models in an operational framework oleh S. Nevo, E. Morin, A. Gerzi Rosenthal, A. Metzger, C. Barshai, D. Weitzner, D. Voloshin, F. Kratzert, G. Elidan, G. Elidan, G. Dror, G. Begelman, G. Nearing, G. Shalev, H. Noga, I. Shavitt, L. Yuklea, M. Royz, N. Giladi, N. Peled Levi, O. Reich, O. Gilon, R. Maor, S. Timnat, T. Shechter, V. Anisimov, Y. Gigi, Y. Levin, Z. Moshe, Z. Ben-Haim, A. Hassidim, Y. Matias

    Diterbitkan 2022-08-01
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