Search Results - Silva, Eraylson

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  1. 1
    A Hybrid System Based on Dynamic Selection for Time Series Forecasting

    A Hybrid System Based on Dynamic Selection for Time Series Forecasting by de Oliveira, Joao F. L., Silva, Eraylson G., de Mattos Neto, Paulo S. G.

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  2. 2
    Improving Electrical Fault Detection Using Multiple Classifier Systems

    Improving Electrical Fault Detection Using Multiple Classifier Systems by Oliveira, José, Passos, Dioeliton, Carvalho, Davi, Melo, José, Silva, Eraylson, de Mattos Neto, Paulo

    Published in Energies (Basel)
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  3. 3
    Hybrid systems using residual modeling for sea surface temperature forecasting

    Hybrid systems using residual modeling for sea surface temperature forecasting by de Mattos Neto, Paulo S. G., Cavalcanti, George D. C., de O. Santos Júnior, Domingos S., Silva, Eraylson G.

    Published in Scientific reports
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  4. 4
    A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting

    A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting by Silva, Eraylson G., De Mattos Neto, Paulo S. G., Cavalcanti, George D. C.

    Published in IEEE access
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  5. 5
    A temporal-window framework for modelling and forecasting time series

    A temporal-window framework for modelling and forecasting time series by de Mattos Neto, Paulo S.G., Cavalcanti, George D.C., Firmino, Paulo R.A., Silva, Eraylson G., Vila Nova Filho, Sérgio R.P.

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  6. 6
    Fault Detection and Classification in Electrical Systems: A Machine Learning and Fuzzy Logic-Based System

    Fault Detection and Classification in Electrical Systems: A Machine Learning and Fuzzy Logic-Based System by Carvalho, Davi, Melo, Jose F. V., Silva, Eraylson G., Wesley, Jose, Passos, Dioeliton, De Mattos Neto, Paulo S. G.

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  7. 7
    On the evaluation of dynamic selection parameters for time series forecasting

    On the evaluation of dynamic selection parameters for time series forecasting by Silva, Eraylson. G., Cavalcanti, George D. C., de Oliveira, Joao Fausto L., de Mattos Neto, Paulo S. G.

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  8. 8
    Hybrid System for Time Series using Iterative Residual Forecasting Models

    Hybrid System for Time Series using Iterative Residual Forecasting Models by da Silva, Eraylson G., de Mattos Neto, Paulo S.G., de Oliveira, Joao F.L.

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  9. 9
    Improving the accuracy of intelligent forecasting models using the Perturbation Theory

    Improving the accuracy of intelligent forecasting models using the Perturbation Theory by Silva, Eraylson. G., de O. Juunior, Domingos S., Cavalcanti, George D. C., de Mattos Neto, Paulo S. G.

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