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Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
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Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Barzegar, Rahim ; Aalami, Mohammad Taghi ; Adamowski, Jan

Stochastic environmental research and risk assessment, 2020-02, Vol.34 (2), p.415-433 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

Talukdar, Swapan ; Ghose, Bonosri ; Shahfahad ; Salam, Roquia ; Mahato, Susanta ; Pham, Quoc Bao ; Linh, Nguyen Thi Thuy ; Costache, Romulus ; Avand, Mohammadtaghi

Stochastic environmental research and risk assessment, 2020-12, Vol.34 (12), p.2277-2300 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes
Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes
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Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes

Cannon, Alex J.

Stochastic environmental research and risk assessment, 2018-11, Vol.32 (11), p.3207-3225 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Monthly runoff forecasting based on LSTM–ALO model
Monthly runoff forecasting based on LSTM–ALO model
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Monthly runoff forecasting based on LSTM–ALO model

Yuan, Xiaohui ; Chen, Chen ; Lei, Xiaohui ; Yuan, Yanbin ; Muhammad Adnan, Rana

Stochastic environmental research and risk assessment, 2018-08, Vol.32 (8), p.2199-2212 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction
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Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction

Zhang, Yong-gang ; Tang, Jun ; Liao, Rao-ping ; Zhang, Ming-fei ; Zhang, Yan ; Wang, Xiao-ming ; Su, Zheng-yang

Stochastic environmental research and risk assessment, 2021-06, Vol.35 (6), p.1273-1291 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
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Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

Tehrany, Mahyat Shafapour ; Pradhan, Biswajeet ; Jebur, Mustafa Neamah

Stochastic environmental research and risk assessment, 2015-05, Vol.29 (4), p.1149-1165 [Periódico revisado por pares]

Berlin/Heidelberg: Springer-Verlag

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7
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
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An improved long short-term memory network for streamflow forecasting in the upper Yangtze River

Zhu, Shuang ; Luo, Xiangang ; Yuan, Xiaohui ; Xu, Zhanya

Stochastic environmental research and risk assessment, 2020-09, Vol.34 (9), p.1313-1329 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
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Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

Malik, Anurag ; Tikhamarine, Yazid ; Souag-Gamane, Doudja ; Kisi, Ozgur ; Pham, Quoc Bao

Stochastic environmental research and risk assessment, 2020-11, Vol.34 (11), p.1755-1773 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Mechanics of wind-blown sand movements
Mechanics of wind-blown sand movements
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Mechanics of wind-blown sand movements

Zheng, Xiaojing

Berlin: Springer 2009

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10
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries
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Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries

Işık, Cem ; Simionescu, Mihaela ; Ongan, Serdar ; Radulescu, Magdalena ; Yousaf, Zahid ; Rehman, Abdul ; Alvarado, Rafael ; Ahmad, Munir

Stochastic environmental research and risk assessment, 2023-09, Vol.37 (9), p.3367-3382 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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