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Refinado por: assunto: Earth And Environmental Science remover assunto: Physics remover
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1
Uncertainty Analyses in Environmental Sciences and Hydrogeology: Methods and Applications to Subsurface Contamination
Uncertainty Analyses in Environmental Sciences and Hydrogeology: Methods and Applications to Subsurface Contamination
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Uncertainty Analyses in Environmental Sciences and Hydrogeology: Methods and Applications to Subsurface Contamination

Ababou, Rachid ; Chastanet, Juliette ; Côme, Jean-Marie ; Marcoux, Manuel ; Quintard, Michel

Singapore: Springer Singapore Pte. Limited 2023

Sem texto completo

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2
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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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
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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5
Transmission dynamics of Monkeypox virus: a mathematical modelling approach
Transmission dynamics of Monkeypox virus: a mathematical modelling approach
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Transmission dynamics of Monkeypox virus: a mathematical modelling approach

Peter, Olumuyiwa James ; Kumar, Sumit ; Kumari, Nitu ; Oguntolu, Festus Abiodun ; Oshinubi, Kayode ; Musa, Rabiu

Modeling earth systems and environment, 2022-09, Vol.8 (3), p.3423-3434 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Impact of population density on Covid-19 infected and mortality rate in India
Impact of population density on Covid-19 infected and mortality rate in India
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Impact of population density on Covid-19 infected and mortality rate in India

Bhadra, Arunava ; Mukherjee, Arindam ; Sarkar, Kabita

Modeling earth systems and environment, 2021-03, Vol.7 (1), p.623-629 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
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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8
Artificial Intelligence Methods in the Environmental Sciences
Artificial Intelligence Methods in the Environmental Sciences
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Artificial Intelligence Methods in the Environmental Sciences

Haupt, Sue Ellen ; Marzban, Caren ; Pasini, Antonello Haupt, Sue Ellen ; Pasini, Antonello ; Marzban, Caren

Dordrecht: Springer Netherlands 2008

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9
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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10
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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