Search Results - Pham Q.B.

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  1. 1
    Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

    Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series by Mohammadi B., Linh N.T.T., Pham Q.B., Ahmed A.N., Vojtekov� J., Guan Y., Abba S.I., El-Shafie A.

    Published 2023
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  2. 2
    Modified approach to reduce GCM bias in downscaled precipitation: A study in Ganga River Basin

    Modified approach to reduce GCM bias in downscaled precipitation: A study in Ganga River Basin by Sharma C., Ojha C.S.P., Shukla A.K., Pham Q.B., Linh N.T.T., Fai C.M., Loc H.H., Dung T.D.

    Published 2023
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  3. 3
    Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index

    Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index by Abba S.I., Pham Q.B., Saini G., Linh N.T.T., Ahmed A.N., Mohajane M., Khaledian M., Abdulkadir R.A., Bach Q.-V.

    Published 2023
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  4. 4
    Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations

    Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations by Kumar M., Elbeltagi A., Pande C.B., Ahmed A.N., Chow M.F., Pham Q.B., Kumari A., Kumar D.

    Published 2023
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  5. 5
    Using GIS, remote sensing, and machine learning to highlight the correlation between the land-use/land-cover changes and flash-flood potential

    Using GIS, remote sensing, and machine learning to highlight the correlation between the land-use/land-cover changes and flash-flood potential by Costache R., Pham Q.B., Corodescu-Ro?ca E., C�mpianu C., Hong H., Thuy Linh N.T., Fai C.M., Ahmed A.N., Vojtek M., Pandhiani S.M., Minea G., Ciobotaru N., Popa M.C., Diaconu D.C., Pham B.T.

    Published 2023
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  6. 6
    Enhancing the prediction accuracy of data-driven models for monthly streamflow in Urmia Lake Basin based upon the autoregressive conditionally heteroskedastic time-series model

    Enhancing the prediction accuracy of data-driven models for monthly streamflow in Urmia Lake Basin based upon the autoregressive conditionally heteroskedastic time-series model by Attar N.F., Pham Q.B., Nowbandegani S.F., Rezaie-Balf M., Fai C.M., Ahmed A.N., Pipelzadeh S., Dung T.D., Nhi P.T.T., Khoi D.N., El-Shafie A.

    Published 2023
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  7. 7
    Separation and attribution of impacts of changes in land use and climate on hydrological processes

    Separation and attribution of impacts of changes in land use and climate on hydrological processes by Polong F., Deng K., Pham Q.B., Linh N.T.T., Abba S.I., Ahmed A.N., Anh D.T., Khedher K.M., El-Shafie A.

    Published 2024
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  8. 8
    Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

    Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm by Pham Q.B., Afan H.A., Mohammadi B., Ahmed A.N., Linh N.T.T., Vo N.D., Moazenzadeh R., Yu P.-S., El-Shafie A.

    Published 2023
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  9. 9
    Groundwater level prediction using machine learning algorithms in a drought-prone area

    Groundwater level prediction using machine learning algorithms in a drought-prone area by Pham Q.B., Kumar M., Di Nunno F., Elbeltagi A., Granata F., Islam A.R.M.T., Talukdar S., Nguyen X.C., Ahmed A.N., Anh D.T.

    Published 2023
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