Search Results - Elbeltagi A.

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  1. 1
    Corrigendum to ?Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition? [J. Hydrol. Reg. Stud. 54 (2024) 101861] (Journal of Hydrology: Regional Studies (2024) 54, (S221458182400209X), (10.1016/j.ejrh.2024.101861))

    Corrigendum to ?Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition? [J. Hydrol. Reg. Stud. 54 (2024) 101861] (Jou... by Ladouali S., Katipo?lu O.M., Bahrami M., Kartal V., Sakaa B., Elshaboury N., Keblouti M., Chaffai H., Salem A., Pande C.B., Elbeltagi A.

    Published 2025
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  2. 2
    Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition

    Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition by Ladouali S., Katipo?lu O.M., Bahrami M., Kartal V., Sakaa B., Elshaboury N., Keblouti M., Chaffai H., Ali S., Pande C.B., Elbeltagi A.

    Published 2025
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  3. 3
    Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India

    Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India by Pande C.B., Costache R., Sammen S.S., Noor R., Elbeltagi A.

    Published 2024
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  4. 4
    Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India

    Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India by Rajput J., Kushwaha N.L., Srivastava A., Pande C.B., Suna T., Sena D.R., Singh D.K., Mishra A.K., Sahoo P.K., Elbeltagi A.

    Published 2025
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  5. 5
    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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  6. 6
    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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  7. 7
    Forecasting of meteorological drought using ensemble and machine learning models

    Forecasting of meteorological drought using ensemble and machine learning models by Pande C.B., Sidek L.M., Varade A.M., Elkhrachy I., Radwan N., Tolche A.D., Elbeltagi A.

    Published 2025
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  8. 8
    Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models

    Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models by Elbeltagi A., Pande C.B., Kumar M., Tolche A.D., Singh S.K., Kumar A., Vishwakarma D.K.

    Published 2024
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  9. 9
    Comparative Assessment of Improved SVM Method under Different Kernel Functions for Predicting Multi-scale Drought Index

    Comparative Assessment of Improved SVM Method under Different Kernel Functions for Predicting Multi-scale Drought Index by Pande C.B., Kushwaha N.L., Orimoloye I.R., Kumar R., Abdo H.G., Tolche A.D., Elbeltagi A.

    Published 2024
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