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A review of the artificial intelligence methods in groundwater level modeling

Journal of hydrology (Amsterdam), 2019-05, Vol.572, p.336-351

2019

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Application of the artificial intelligence approach and remotely sensed imagery for soil moisture evaluation

Hydrology Research, 2022-05, Vol.53 (5), p.684-699

Nourani, Vahid

2022

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Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Water science and technology, 2018-12, Vol.78 (10), p.2064-2076

2018

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Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

Journal of hydrology (Amsterdam), 2014-06, Vol.514, p.358-377

2014

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A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process

Journal of hydrology (Amsterdam), 2013-05, Vol.490, p.41-55

2013

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Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Water resources management, 2021-06, Vol.35 (8), p.2369-2384

2021

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Genetic programming in water resources engineering: A state-of-the-art review

Journal of hydrology (Amsterdam), 2018-11, Vol.566, p.643-667

2018

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An Emotional ANN (EANN) approach to modeling rainfall-runoff process

Journal of hydrology (Amsterdam), 2017-01, Vol.544, p.267-277

Nourani, Vahid

2017

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Performance evaluation of artificial neural network model in hybrids with various preprocessors for river streamflow forecasting

Aqua (London, England), 2023-06, Vol.72 (6), p.947-968

2023

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Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models

Hydrology Research, 2022-06, Vol.53 (6), p.914-944

2022

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Pareto-optimal MPSA-MGGP: A new gene-annealing model for monthly rainfall forecasting

Journal of hydrology (Amsterdam), 2019-04, Vol.571, p.406-415

2019

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Ensemble physically based semi-distributed models for the rainfall-runoff process modeling in the data-scarce Katar catchment, Ethiopia

Journal of hydroinformatics, 2023-03, Vol.25 (2), p.567-592

2023

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Estimation of Suspended Sediment Load Using Artificial Intelligence-Based Ensemble Model

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion

Earth science informatics, 2021-12, Vol.14 (4), p.1787-1808

2021

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A novel multi-model data-driven ensemble approach for the prediction of particulate matter concentration

Environmental science and pollution research international, 2021-09, Vol.28 (36), p.49663-49677

2021

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Evaluation of the effluent quality parameters of wastewater treatment plant based on uncertainty analysis and post-processing approaches (case study)

Water science and technology, 2021-04, Vol.83 (7), p.1633-1648

2021

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Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method

Water resources management, 2022, Vol.36 (2), p.473-488

2022

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Assessment of land use and climate change effects on land subsidence using a hydrological model and radar technique

Journal of hydrology (Amsterdam), 2019-11, Vol.578, p.124070, Article 124070

2019

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Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches

Journal of mountain science, 2015-01, Vol.12 (1), p.85-100

2015

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Spatiotemporal precipitation modeling by artificial intelligence-based ensemble approach

Environmental earth sciences, 2020, Vol.79 (1), Article 6

2020

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Forecasting CO pollutant concentration of Tabriz city air using artificial neural network and adaptive neuro-fuzzy inference system and its impact on sustainable development of urban

Environmental earth sciences, 2021-02, Vol.80 (4), Article 136

2021

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The Accuracy of Precipitation Forecasts at Timescales of 1–15 Days in the Volta River Basin

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.937

2022

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Climate change or regional human impacts? Remote sensing tools, artificial neural networks, and wavelet approaches aim to solve the problem

Hydrology Research, 2021-02, Vol.52 (1), p.176-195

2021

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Correction to: Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method

Water resources management, 2022, Vol.36 (2), p.489-489

2022

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Measuring glacier changes in the Tianshan Mountains over the past 20 years using Google Earth Engine and machine learning

Journal of geographical sciences, 2023-09, Vol.33 (9), p.1939-1964

2023

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A review of the artificial intelligence methods in groundwater level modeling

Application of the artificial intelligence approach and remotely sensed imagery for soil moisture evaluation

Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process

Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Genetic programming in water resources engineering: A state-of-the-art review

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

Performance evaluation of artificial neural network model in hybrids with various preprocessors for river streamflow forecasting

Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models

Pareto-optimal MPSA-MGGP: A new gene-annealing model for monthly rainfall forecasting

Ensemble physically based semi-distributed models for the rainfall-runoff process modeling in the data-scarce Katar catchment, Ethiopia

Estimation of Suspended Sediment Load Using Artificial Intelligence-Based Ensemble Model

Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion

A novel multi-model data-driven ensemble approach for the prediction of particulate matter concentration

Evaluation of the effluent quality parameters of wastewater treatment plant based on uncertainty analysis and post-processing approaches (case study)

Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method

Assessment of land use and climate change effects on land subsidence using a hydrological model and radar technique

Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches

Spatiotemporal precipitation modeling by artificial intelligence-based ensemble approach

Forecasting CO pollutant concentration of Tabriz city air using artificial neural network and adaptive neuro-fuzzy inference system and its impact on sustainable development of urban

The Accuracy of Precipitation Forecasts at Timescales of 1–15 Days in the Volta River Basin

Climate change or regional human impacts? Remote sensing tools, artificial neural networks, and wavelet approaches aim to solve the problem

Correction to: Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method

Measuring glacier changes in the Tianshan Mountains over the past 20 years using Google Earth Engine and machine learning

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