410 results on '"Zounemat-Kermani, Mohammad"'
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2. New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems
3. Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer
4. An artificial intelligence-based model for optimal conjunctive operation of surface and groundwater resources
5. Stochastic (S[ARIMA]), shallow (NARnet, NAR-GMDH, OS-ELM), and deep learning (LSTM, Stacked-LSTM, CNN-GRU) models, application to river flow forecasting
6. Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection
7. Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
8. Enhancing BOD5 forecasting accuracy with the ANN-Enhanced Runge Kutta model
9. Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow
10. Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
11. Experimental study and numerical simulation of dam reservoir sediment release
12. Modeling river water dissolved organic matter using ensemble computing and genetic programming techniques
13. Investigating machine learning models in predicting lake water quality parameters as a 3-year moving average
14. Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithm
15. Improving drought modeling based on new heuristic machine learning methods
16. Numerical study on the performance of circular juvenile fish breeding ponds
17. Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling
18. Contributors
19. Predicting nitrate concentration in river using advanced artificial intelligence techniques
20. Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm
21. Application of improved version of multi verse optimizer algorithm for modeling solar radiation
22. Application of novel binary optimized machine learning models for monthly streamflow prediction
23. Groundwater level prediction using machine learning models: A comprehensive review
24. Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds.
25. Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based models
26. Decision tree models in predicting water quality parameters of dissolved oxygen and phosphorus in lake water
27. Modeling of wave run-up by applying integrated models of group method of data handling
28. Machine Learning Method in Prediction Streamflow Considering Periodicity Component
29. Studying the relationship between the hydraulic and geometry characteristics of labyrinth weirs based on the historical memory of reported data
30. Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
31. Soft Computing Methods and Water Management
32. Simulating wastewater treatment plants for heavy metals using machine learning models
33. Ensemble machine learning paradigms in hydrology: A review
34. Irrigation water infiltration modeling using machine learning
35. A long short-term memory deep learning approach for river water temperature prediction
36. Predicting dissolved oxygen concentration in river using new advanced machines learning: Long-short term memory (LSTM) deep learning
37. List of contributors
38. Contributors
39. Modeling reference evapotranspiration using a novel regression-based method: radial basis M5 model tree
40. A comprehensive survey on conventional and modern neural networks: application to river flow forecasting
41. Prediction of hydro-suction dredging depth using data-driven methods
42. Forecasting river daily discharge using decision tree and time series methods.
43. Study of biological quality of lake waters based on phycocyanin using tree‐based methodologies.
44. Meta-learner methods in forecasting regulated and natural river flow
45. Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea
46. Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects
47. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
48. On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico
49. Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine
50. Nature-inspired algorithms in sanitary engineering: modelling sediment transport in sewer pipes
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