60 citations as recorded by crossref.

1. Numerical investigation of the velocity field around the spur dike in 90° bend S. Abdolahi et al.
2. Long-term and short-term estimations of snow water availability for the Barasona reservoir L. López & M. Escorihuela
3. A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al.
4. Data- and Model-Based Discharge Hindcasting over a Subtropical River Basin K. Billah et al.
5. Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks Y. Chiang et al.
6. Seyhan Havzası'nda Yer Alan Üç İstasyon İçin Yapay Sinir Ağı Kullanarak Akış Modeli Geliştirilmesi Üzerine Bir Çalışma M. Merkepçi
7. Modeling the effect of meteorological variables on streamflow estimation: application of data mining techniques in mixed rainfall–snowmelt regime Munzur River, Türkiye O. Katipoğlu
8. Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting M. Ghorbani et al.
9. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq Z. Yaseen et al.
10. Computation of Evapotranspiration with Artificial Intelligence for Precision Water Resource Management H. Afzaal et al.
11. Comparison of data-driven modelling techniques for river flow forecasting S. Londhe & S. Charhate
12. River flow time series using least squares support vector machines R. Samsudin et al.
13. Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting R. Tabbussum & A. Dar
14. Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction S. Meshram et al.
15. Stochastic model stationarization by eliminating the periodic term and its effect on time series prediction H. Moeeni et al.
16. Optimizing Daily Streamflow Forecasting Under Mediterranean Climate: A Novel Hybrid VMD-EWT and Deep Learning Framework N. Daif et al.
17. Predictive accuracy of backpropagation neural network methodology in evapotranspiration forecasting in Dédougou region, western Burkina Faso S. TRAORE et al.
18. Toward Automatic Time-Series Forecasting Using Neural Networks . Weizhong Yan
19. Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland P. Aghelpour et al.
20. Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information F. Chang et al.
21. Real-time streamflow forecasting: AI vs. Hydrologic insights W. Krajewski et al.
22. 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.
23. Determination of Deep Learning Model and Optimum Length of Training Data in the River with Large Fluctuations in Flow Rates K. Park et al.
24. Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach H. Moeeni et al.
25. Hourly runoff forecasting for flood risk management: Application of various computational intelligence models H. Badrzadeh et al.
26. Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework N. Mount et al.
27. Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting H. Apaydin et al.
28. Time Series Forecasting Using Wavelet-Least Squares Support Vector Machines and Wavelet Regression Models for Monthly Stream Flow Data S. Pandhiani & A. Shabri
29. Integrated SARIMA with Neuro-Fuzzy Systems and Neural Networks for Monthly Inflow Prediction H. Moeeni et al.
30. Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting H. Tao et al.
31. Accurate Multi-horizon Hourly Streamflow Forecasting Using ELM Optimized by GWO, BAT, DE, WOA, and GA Algorithms N. Daif et al.
32. A performance evaluation of neuro-fuzzy and regression methods in estimation of sediment load of selective rivers J. Varvani & M. Khaleghi
33. Streamflow forecasting using least-squares support vector machines A. Shabri & . Suhartono
34. Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data V. Jothiprakash & R. Magar
35. Prediction of river flow using hybrid neuro-fuzzy models A. Azad et al.
36. Stochastic modeling of artificial neural networks for real-time hydrological forecasts based on uncertainties in transfer functions and ANN weights S. Wu et al.
37. A Bayesian Hierarchical Network Model for Daily Streamflow Ensemble Forecasting Á. Ossandón et al.
38. A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon F. Dtissibe et al.
39. Hydraulic head interpolation using anfis—model selection and sensitivity analysis B. Kurtulus & N. Flipo
40. Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting H. Badrzadeh et al.
41. Impact of complexity on daily and multi-step forecasting of streamflow with chaotic, stochastic, and black-box models H. Tongal & R. Berndtsson
42. Daily river flow prediction based on Two-Phase Constructive Fuzzy Systems Modeling: A case of hydrological – meteorological measurements asymmetry B. Bou-Fakhreddine et al.
43. Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction R. Tabbussum & A. Dar
44. Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model H. Moeeni & H. Bonakdari
45. Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series P. Aghelpour & V. Varshavian
46. Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone S. Traore et al.
47. 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.
48. Comparison Between Active Learning Method and Support Vector Machine for Runoff Modeling H. Shahraiyni et al.
49. Assessing Linkages in Stream Habitat, Geomorphic Condition, and Biological Integrity Using a Generalized Regression Neural Network B. Mathon et al.
50. Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models I. Ebtehaj et al.
51. Towards Safer Data-Driven Forecasting of Extreme Streamflows J. Matos et al.
52. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al.
53. Flow forecasting models using hydrologic and hydrometric data M. Alizadeh et al.
54. Hydrological and Meteorological Drought Forecasting for the Yesilirmak River Basin, Turkey A. BOUSTANİ HEZARANİ et al.
55. Linear genetic programming for time-series modelling of daily flow rate A. Guven
56. Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data K. Park et al.
57. Integration of remote sensing data and GIS technologies in river management system . Chatrabhuj et al.
58. Advances in ungauged streamflow prediction using artificial neural networks L. Besaw et al.
59. Comparative analysis of ANFIS models in Prediction of Streamflow: the case of Seyhan Basin F. Özkan & B. Haznedar
60. PERFORMANCE INDICES OF SOFT COMPUTING MODELS TO PREDICT THE HEAT LOAD OF BUILDINGS IN TERMS OF ARCHITECTURAL INDICATORS G. Akkurt