73 citations as recorded by crossref.

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16. Hourly stream flow prediction in tropical rivers by multi-layer perceptron network M. Seyam & F. Othman
17. Hybrid particle swarm optimization and group method of data handling for short-term prediction of natural daily streamflows D. Souza et al.
18. Novel hybrid approaches based on evolutionary strategy for streamflow forecasting in the Chellif River, Algeria M. Zakhrouf et al.
19. Estimation of Failure Rate in Water Distribution Network Using Fuzzy Clustering and LS-SVM Methods M. Aydogdu & M. Firat
20. Early detection of riverine flooding events using the group method of data handling for the Bow River, Alberta, Canada M. Elkurdy et al.
21. Statistical Estimation of Uniaxial Compressive Strength in Geotechnical Projects Using Regression Analysis: A Comparative Study R. Verma et al.
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23. Monthly Mean Streamflow Prediction Based on Bat Algorithm-Support Vector Machine B. Xing et al.
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25. An Index Used to Evaluate the Applicability of Mid-to-Long-Term Runoff Prediction in a Basin Based on Mutual Information S. Xie et al.
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29. Application of Acoustic tomographic data to the short-term streamflow forecasting using data-driven methods and discrete wavelet transform Y. Olfatmiri et al.
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33. Medium- and long-term runoff forecasting based on a random forest regression model C. Shijun et al.
34. Prediction of Stream Flow in Humid Tropical Rivers by Support Vector Machines M. Seyam et al.
35. Seasonal Time Series Forecasting by F1-Fuzzy Transform F. Di Martino & S. Sessa
36. Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models F. Fathian et al.
37. Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network A. Ahmadi et al.
38. New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine M. Rezaie-Balf & O. Kisi
39. Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach S. Mehdizadeh et al.
40. A Comparative Study of Autoregressive, Autoregressive Moving Average, Gene Expression Programming and Bayesian Networks for Estimating Monthly Streamflow S. Mehdizadeh & A. Kozekalani Sales
41. A DeepAR-Based Modeling Framework for Probabilistic Mid–Long-Term Streamflow Prediction S. Xie et al.
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43. A comparative study of solo and hybrid data driven models for predicting bridge pier scour depth K. Qaderi et al.
44. A geospatial approach for understanding the spatio-temporal variability and projection of future trend in groundwater availability in the Tawi basin, Jammu, India S. Roy et al.
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46. Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series S. Wu et al.
47. The Influence of Accurate Lag Time Estimation on the Performance of Stream Flow Data-driven Based Models M. Seyam & F. Othman
48. Trend analysis and ARIMA modelling of recent groundwater levels in the White Volta River basin of Ghana A. Gibrilla et al.
49. Improving Forecasting Accuracy of Streamflow Time Series Using Least Squares Support Vector Machine Coupled with Data-Preprocessing Techniques A. Kalteh
50. Time Series Analysis of Groundwater Levels and Projection of Future Trend G. Patle et al.
51. Assessment of Normalization of Monthly Runoff Probabilistic Distribution impact on SVM and ANN Models Performance in Monthly River Flows Simulation (A Case Study: ZarrinehRud River Basin) M. Isazadeh et al.
52. Simulation of Methyl Tertiary Butyl Ether Concentrations in River-Reservoir Systems Using Support Vector Regression M. Aboutalebi et al.
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54. Monthly Streamflow Forecasting Using Convolutional Neural Network X. Shu et al.
55. Assessment of groundwater variability using ARIMA, random forest, and LSTM-RNN in the northeastern region of Bangladesh A. Nury et al.
56. Assessment of hybrid kernel function in extreme support vector regression model for streamflow time series forecasting based on a bayesian estimator decomposition algorithm P. Shi et al.
57. Flood predictions from metrics to classes by multiple machine learning algorithms coupling with clustering-deduced membership degree X. Zhai et al.
58. Robust Forecasting of River-Flow Based on Convolutional Neural Network C. Huang et al.
59. Detecting and predicting the impact of land use changes on groundwater quality, a case study in Northern Kelantan, Malaysia T. Sheikhy Narany et al.
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61. Hydrographical Flow Modelling of the River Severn Using Particle Swarm Optimization I. Kenny
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65. A comparison between direct and indirect frameworks to evaluate impacts of climate change on streamflows: case study of Karkheh River basin in Iran M. Nasseri et al.
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67. A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation Y. He et al.
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69. Regional Analysis of Flow Duration Curves through Support Vector Regression M. Vafakhah & S. Khosrobeigi Bozchaloei
70. A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction M. Ghorbani et al.
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72. A review on applications of ANN and SVM for building electrical energy consumption forecasting A. Ahmad et al.
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