8 citations as recorded by crossref.

1. A novel wavelet artificial neural networks method to predict non-stationary time series M. Ghanbarzadeh & M. Aminghafari https://doi.org/10.1080/03610926.2018.1549259
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3. Novel hybrid approaches based on evolutionary strategy for streamflow forecasting in the Chellif River, Algeria M. Zakhrouf et al. https://doi.org/10.1007/s11600-019-00380-5
4. Evaluation of daily solar radiation flux using soft computing approaches based on different meteorological information: peninsula vs continent S. Kim et al. https://doi.org/10.1007/s00704-018-2627-x
5. Two integrated conceptual–wavelet-based data-driven model approaches for daily rainfall–runoff modelling C. Sezen & T. Partal https://doi.org/10.2166/hydro.2022.171
6. Fine-tuning inflow prediction models: integrating optimization algorithms and TRMM data for enhanced accuracy E. Ali et al. https://doi.org/10.2166/wst.2024.222
7. Analysis of the use of discrete wavelet transforms coupled with ANN for short-term streamflow forecasting P. Freire et al. https://doi.org/10.1016/j.asoc.2019.04.024
8. Optimal level of wavelet decomposition for daily inflow forecasting P. Freire & C. Santos https://doi.org/10.1007/s12145-020-00496-z