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Modeling of wave run-up by applying integrated models of group method of data handling

Scientific reports, 2022-05, Vol.12 (1), p.8279-8279, Article 8279

2022

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Seasonal Short‐Term Prediction of Dissolved Oxygen in Rivers via Nature‐Inspired Algorithms

Clean : soil, air, water, 2020-02, Vol.48 (2), p.n/a

2020

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Hybrid meta-heuristics artificial intelligence models in simulating discharge passing the piano key weirs

Journal of hydrology (Amsterdam), 2019-02, Vol.569, p.12-21

2019

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Suspended sediment prediction using integrative soft computing models: on the analogy between the butterfly optimization and genetic algorithms

Geocarto international, 2022-02, Vol.37 (4), p.961-977

2022

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Development of particle swarm clustered optimization method for applications in applied sciences

Progress in earth and planetary science, 2023-12, Vol.10 (1), p.17-16, Article 17

2023

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Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis

Archives of computational methods in engineering, 2024-04, Vol.31 (3), p.1297-1340

2024

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A new integrated model of the group method of data handling and the firefly algorithm (GMDH-FA): application to aeration modelling on spillways

The Artificial intelligence review, 2020-04, Vol.53 (4), p.2549-2569

2020

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A comprehensive survey on conventional and modern neural networks: application to river flow forecasting

Earth science informatics, 2021-06, Vol.14 (2), p.893-911

2021

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Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing

Scientific reports, 2022-11, Vol.12 (1), p.19390-19390, Article 19390

2022

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Estimating incipient motion velocity of bed sediments using different data-driven methods

Applied soft computing, 2018-08, Vol.69, p.165-176

2018

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Prediction of Vistula water surface level by applying the new group method of data handling

International journal of hydrology science and technology, 2023, Vol.16 (2), p.151-170

2023

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Prediction of hydro-suction dredging depth using data-driven methods

Frontiers of Structural and Civil Engineering, 2021-06, Vol.15 (3), p.652-664

2021

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Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models

Water (Basel), 2023-03, Vol.15 (6), p.1095

2023

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Groundwater quality modeling: On the analogy between integrative PSO and MRFO mathematical and machine learning models

Environmental quality management, 2022-03, Vol.31 (3), p.241-251

2022

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Meta-learner methods in forecasting regulated and natural river flow

Arabian journal of geosciences, 2022, Vol.15 (11), Article 1051

2022

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Application of nested artificial neural network for the prediction of significant wave height

Renewable energy, 2023-06, Vol.209, p.157-168

2023

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Development of pyramid neural networks for prediction of significant wave height for renewable energy farms

Applied energy, 2024-05, Vol.362, p.123009, Article 123009

2024

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Development of aggregated random intelligent approach for the modeling of desalination processes

Desalination, 2023-12, Vol.567, p.116990, Article 116990

2023

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Advancing Reservoir Water Level Predictions: Evaluating Conventional, Ensemble and Integrated Swarm Machine Learning Approaches

Water resources management, 2024-09

2024

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Development of clustered machine learning technique for the modeling of scour profile induced by propeller jets

Ocean engineering, 2023-11, Vol.288, p.115915, Article 115915

2023

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Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm

Knowledge-based systems, 2022-12, Vol.258, p.110032, Article 110032

2022

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Prediction of seasonal maximum wave height for unevenly spaced time series by Black Widow Optimization algorithm

Marine structures, 2021-07, Vol.78, p.103005, Article 103005

2021

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Drought forecasting using novel heuristic methods in a semi-arid environment

Journal of hydrology (Amsterdam), 2019-11, Vol.578, p.124053, Article 124053

2019

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Simulation of energy dissipation downstream of labyrinth weirs by applying support vector regression integrated with meta-heuristic algorithms

Journal of hydro-environment research, 2022-01, Vol.40, p.91-101

2022

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Machine learning methodology for determination of sediment particle velocities over sandy and rippled bed

Measurement : journal of the International Measurement Confederation, 2022-06, Vol.197, p.111332, Article 111332

2022

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Modeling of wave run-up by applying integrated models of group method of data handling

Seasonal Short‐Term Prediction of Dissolved Oxygen in Rivers via Nature‐Inspired Algorithms

Hybrid meta-heuristics artificial intelligence models in simulating discharge passing the piano key weirs

Suspended sediment prediction using integrative soft computing models: on the analogy between the butterfly optimization and genetic algorithms

Development of particle swarm clustered optimization method for applications in applied sciences

Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis

A new integrated model of the group method of data handling and the firefly algorithm (GMDH-FA): application to aeration modelling on spillways

A comprehensive survey on conventional and modern neural networks: application to river flow forecasting

Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing

Estimating incipient motion velocity of bed sediments using different data-driven methods

Prediction of Vistula water surface level by applying the new group method of data handling

Prediction of hydro-suction dredging depth using data-driven methods

Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models

Groundwater quality modeling: On the analogy between integrative PSO and MRFO mathematical and machine learning models

Meta-learner methods in forecasting regulated and natural river flow

Application of nested artificial neural network for the prediction of significant wave height

Development of pyramid neural networks for prediction of significant wave height for renewable energy farms

Development of aggregated random intelligent approach for the modeling of desalination processes

Advancing Reservoir Water Level Predictions: Evaluating Conventional, Ensemble and Integrated Swarm Machine Learning Approaches

Development of clustered machine learning technique for the modeling of scour profile induced by propeller jets

Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm

Prediction of seasonal maximum wave height for unevenly spaced time series by Black Widow Optimization algorithm

Drought forecasting using novel heuristic methods in a semi-arid environment

Simulation of energy dissipation downstream of labyrinth weirs by applying support vector regression integrated with meta-heuristic algorithms

Machine learning methodology for determination of sediment particle velocities over sandy and rippled bed

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