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Refinado por: assunto: Aquatic Pollution remover assunto: Earth And Environmental Science remover assunto: Physics remover Environmental Sciences & Ecology remover
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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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2
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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3
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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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
Adsorption mechanism of Zn2+, Ni2+, Cd2+, and Cu2+ ions by carbon-based adsorbents: interpretation of the adsorption isotherms via physical modelling
Adsorption mechanism of Zn2+, Ni2+, Cd2+, and Cu2+ ions by carbon-based adsorbents: interpretation of the adsorption isotherms via physical modelling
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Adsorption mechanism of Zn2+, Ni2+, Cd2+, and Cu2+ ions by carbon-based adsorbents: interpretation of the adsorption isotherms via physical modelling

Dhaouadi, Fatma ; Sellaoui, Lotfi ; Reynel-Ávila, Hilda Elizabeth ; Landín-Sandoval, Verónica ; Mendoza-Castillo, Didilia I. ; Jaime-Leal, José Enrique ; Lima, Eder Claudio ; Bonilla-Petriciolet, Adrián ; Lamine, Abdelmottaleb Ben

Environmental science and pollution research international, 2021-06, Vol.28 (24), p.30943-30954 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
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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8
Review of landslide susceptibility assessment based on knowledge mapping
Review of landslide susceptibility assessment based on knowledge mapping
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Review of landslide susceptibility assessment based on knowledge mapping

Yong, Chen ; Jinlong, Dong ; Fei, Guo ; Bin, Tong ; Tao, Zhou ; Hao, Fang ; Li, Wang ; Qinghua, Zhan

Stochastic environmental research and risk assessment, 2022-09, Vol.36 (9), p.2399-2417 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach
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Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach

Ak, M. Fatih ; Yucesan, Melih ; Gul, Muhammet

Stochastic environmental research and risk assessment, 2022-02, Vol.36 (2), p.629-642 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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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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