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Seismic performance assessment of unsaturated soil slope in different groundwater levels
Seismic performance assessment of unsaturated soil slope in different groundwater levels
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Seismic performance assessment of unsaturated soil slope in different groundwater levels

Huang, Shuai ; Lyu, Yuejun ; Sha, Haijun ; Xiu, Liwei

Landslides, 2021-08, Vol.18 (8), p.2813-2833 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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2
Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions
Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions
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Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions

Choubin, Bahram ; Malekian, Arash

Environmental earth sciences, 2017-08, Vol.76 (15), p.1, Article 538 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida
Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida
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Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida

Gong, Yicheng ; Zhang, Yongxiang ; Lan, Shuangshuang ; Wang, Huan

Water resources management, 2016-01, Vol.30 (1), p.375-391 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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4
Evaluation of data-driven models (SVR and ANN) for groundwater-level prediction in confined and unconfined systems
Evaluation of data-driven models (SVR and ANN) for groundwater-level prediction in confined and unconfined systems
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Evaluation of data-driven models (SVR and ANN) for groundwater-level prediction in confined and unconfined systems

Mirarabi, A. ; Nassery, H. R. ; Nakhaei, M. ; Adamowski, J. ; Akbarzadeh, A. H. ; Alijani, F.

Environmental earth sciences, 2019-08, Vol.78 (15), p.1-15, Article 489 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database
Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database
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Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database

Kim, Bokyung ; Lee, Jiyeong ; Park, Keunbo ; Lee, Junhwan

Environmental earth sciences, 2024-02, Vol.83 (3), p.88, Article 88 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)
Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)
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Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)

Emamgholizadeh, Samad ; Moslemi, Khadije ; Karami, Gholamhosein

Water resources management, 2014-12, Vol.28 (15), p.5433-5446 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
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Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment

Sahoo, Sasmita ; Jha, Madan K.

Hydrogeology journal, 2013-12, Vol.21 (8), p.1865-1887 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
A wavelet neural network conjunction model for groundwater level forecasting
A wavelet neural network conjunction model for groundwater level forecasting
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A wavelet neural network conjunction model for groundwater level forecasting

Adamowski, Jan ; Chan, Hiu Fung

Journal of hydrology (Amsterdam), 2011-09, Vol.407 (1), p.28-40 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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9
Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites
Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites
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Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites

Mohanty, S. ; Jha, Madan K. ; Raul, S. K. ; Panda, R. K. ; Sudheer, K. P.

Water resources management, 2015-12, Vol.29 (15), p.5521-5532 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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10
Investigation of multi-annual groundwater response to rainfall in a deep-seated bedrock landslide: the case of the Kualiangzi landslide, China
Investigation of multi-annual groundwater response to rainfall in a deep-seated bedrock landslide: the case of the Kualiangzi landslide, China
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Investigation of multi-annual groundwater response to rainfall in a deep-seated bedrock landslide: the case of the Kualiangzi landslide, China

Liu, Han-Xiang ; Xu, Qiang ; Qiu, Tong ; Li, Jiang

Natural hazards (Dordrecht), 2024-02, Vol.120 (3), p.2749-2775 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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