64 citations as recorded by crossref.

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27. Integrated SARIMA with Neuro-Fuzzy Systems and Neural Networks for Monthly Inflow Prediction H. Moeeni et al. 10.1007/s11269-017-1632-7
28. Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting H. Tao et al. 10.1155/2020/8844367
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44. A hybrid forecasting model based on the group method of data handling and wavelet decomposition for monthly rivers streamflow data sets W. Shaikh et al. 10.1515/phys-2022-0066
45. Comparison Between Active Learning Method and Support Vector Machine for Runoff Modeling H. Shahraiyni et al. 10.2478/v10098-012-0002-7
46. Assessing Linkages in Stream Habitat, Geomorphic Condition, and Biological Integrity Using a Generalized Regression Neural Network B. Mathon et al. 10.1111/jawr.12030
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51. Hydrological and Meteorological Drought Forecasting for the Yesilirmak River Basin, Turkey A. BOUSTANİ HEZARANİ et al. 10.51764/smutgd.993792
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54. Integration of remote sensing data and GIS technologies in river management system . Chatrabhuj et al. 10.1007/s44288-024-00080-8
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56. Comparative analysis of ANFIS models in Prediction of Streamflow: the case of Seyhan Basin F. Özkan & B. Haznedar 10.18100/ijamec.1308666
57. PERFORMANCE INDICES OF SOFT COMPUTING MODELS TO PREDICT THE HEAT LOAD OF BUILDINGS IN TERMS OF ARCHITECTURAL INDICATORS G. Akkurt 10.18186/journal-of-thermal-engineering.330179
58. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq Z. Yaseen et al. 10.1016/j.jhydrol.2016.09.035
59. Specification of Operating Rules for Water Reservoir to Manage Flood Using Z-Notation H. Alam 10.21015/vtcs.v9i1.1001
60. Comparison of neural networks and genetic algorithms to determine missing precipitation data (Case study: the city of Sari) A. Mahdavi et al. 10.46925//rdluz.29.08
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62. Urban Pluvial Flood Forecasting using Open Data with Machine Learning Techniques in Pattani Basin J. Noymanee et al. 10.1016/j.procs.2017.11.187
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64. Investigating the effect of previous time on modeling stage–discharge curve at hydrometric stations using GEP and NN models F. Harasami et al. 10.1080/09715010.2017.1308278