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25. Optimum Abstraction of Groundwater for Sustaining Groundwater Level and Reducing Irrigation Cost G. Salem et al. 10.1007/s11269-017-1623-8
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34. Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia M. Ghorbani et al. 10.1007/s00500-019-04648-2
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42. Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models J. Rhee et al. 10.1007/s11069-020-04114-5
43. Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data D. Singh et al. 10.5194/hess-27-1047-2023
44. Interpreting and modelling the daily extreme sediment events in karst mountain watersheds J. Jing et al. 10.1016/j.scitotenv.2024.171956
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52. A long lead time forecast model applying an ensemble approach for managing the great Karun multi-reservoir system E. Mostaghimzadeh et al. 10.1007/s13201-023-01924-3
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57. Machine learning classification approach for formation delineation at the basin-scale D. Vikara & V. Khanna 10.1016/j.ptlrs.2021.09.004
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59. Competition prediction and fitness behavior based on GA-SVM algorithm and PCA model T. Li et al. 10.3233/JIFS-179202
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62. Comparative assessment of empirical random forest family's model in simulating future streamflow in different basin of Sarawak, Malaysia Z. Sa’adi et al. 10.1016/j.jastp.2024.106381
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64. What controls hydrology? An assessment across the contiguous United States through an interpretable machine learning approach K. Li & S. Razavi 10.1016/j.jhydrol.2024.131835
65. Weekly streamflow forecasting of Rhine river based on machine learning approaches Z. Khozani et al. 10.1007/s11069-024-06962-x
66. Comparative analysis of decision tree, time series, and semi-distributed hydrological models for runoff prediction in snowmelt-influenced and human-activity-intensive basins: a case study of the Shiribeshi-Toshibetsu basin, Japan Y. Chen et al. 10.2166/hydro.2024.267
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77. Long-Term Groundwater Level Prediction Model Based on Hybrid KNN-RF Technique O. Kombo et al. 10.3390/hydrology7030059
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81. Predictability of Monthly Streamflow Time Series and its Relationship with Basin Characteristics: an Empirical Study Based on the MOPEX Basins R. He et al. 10.1007/s11269-020-02708-z
82. Effects of mass balance, energy balance, and storage-discharge constraints on LSTM for streamflow prediction S. Pokharel et al. 10.1016/j.envsoft.2023.105730
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