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A review of the artificial intelligence methods in groundwater level modeling
A review of the artificial intelligence methods in groundwater level modeling
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A review of the artificial intelligence methods in groundwater level modeling

Rajaee, Taher ; Ebrahimi, Hadi ; Nourani, Vahid

Journal of hydrology (Amsterdam), 2019-05, Vol.572, p.336-351 [Periódico revisado por pares]

Elsevier B.V

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2
Application of the artificial intelligence approach and remotely sensed imagery for soil moisture evaluation
Application of the artificial intelligence approach and remotely sensed imagery for soil moisture evaluation
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Application of the artificial intelligence approach and remotely sensed imagery for soil moisture evaluation

Nourani, Vahid

Hydrology Research, 2022-05, Vol.53 (5), p.684-699 [Periódico revisado por pares]

London: IWA Publishing

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3
Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach
Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach
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Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Nourani, Vahid ; Elkiran, Gozen ; Abba, S I

Water science and technology, 2018-12, Vol.78 (10), p.2064-2076 [Periódico revisado por pares]

England: IWA Publishing

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4
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
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Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

Nourani, Vahid ; Hosseini Baghanam, Aida ; Adamowski, Jan ; Kisi, Ozgur

Journal of hydrology (Amsterdam), 2014-06, Vol.514, p.358-377 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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5
A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process
A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process
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A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process

Nourani, Vahid ; Komasi, Mehdi

Journal of hydrology (Amsterdam), 2013-05, Vol.490, p.41-55 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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6
Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling
Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling
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Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Molajou, Amir ; Nourani, Vahid ; Afshar, Abbas ; Khosravi, Mina ; Brysiewicz, Adam

Water resources management, 2021-06, Vol.35 (8), p.2369-2384 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Genetic programming in water resources engineering: A state-of-the-art review
Genetic programming in water resources engineering: A state-of-the-art review
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Genetic programming in water resources engineering: A state-of-the-art review

Danandeh Mehr, Ali ; Nourani, Vahid ; Kahya, Ercan ; Hrnjica, Bahrudin ; Sattar, Ahmed M.A. ; Yaseen, Zaher Mundher

Journal of hydrology (Amsterdam), 2018-11, Vol.566, p.643-667 [Periódico revisado por pares]

Elsevier B.V

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8
An Emotional ANN (EANN) approach to modeling rainfall-runoff process
An Emotional ANN (EANN) approach to modeling rainfall-runoff process
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An Emotional ANN (EANN) approach to modeling rainfall-runoff process

Nourani, Vahid

Journal of hydrology (Amsterdam), 2017-01, Vol.544, p.267-277 [Periódico revisado por pares]

Elsevier B.V

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9
Performance evaluation of artificial neural network model in hybrids with various preprocessors for river streamflow forecasting
Performance evaluation of artificial neural network model in hybrids with various preprocessors for river streamflow forecasting
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Performance evaluation of artificial neural network model in hybrids with various preprocessors for river streamflow forecasting

Momeneh, Sadegh ; Nourani, Vahid

Aqua (London, England), 2023-06, Vol.72 (6), p.947-968 [Periódico revisado por pares]

Oxford: IWA Publishing

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10
Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models
Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models
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Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models

Momeneh, Sadegh ; Nourani, Vahid

Hydrology Research, 2022-06, Vol.53 (6), p.914-944 [Periódico revisado por pares]

London: IWA Publishing

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