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Refinado por: Lista de Todas as Versões Environmental Science And Pollution Research International remover
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Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
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Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia

Ansari, Mozafar ; Othman, Faridah ; Abunama, Taher ; El-Shafie, Ahmed

Environmental science and pollution research international, 2018-04, Vol.25 (12), p.12139-12149 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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2
Sea-level projections using a NARX-NN model of tide gauge data for the coastal city of Kuala Terengganu in Malaysia
Sea-level projections using a NARX-NN model of tide gauge data for the coastal city of Kuala Terengganu in Malaysia
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Sea-level projections using a NARX-NN model of tide gauge data for the coastal city of Kuala Terengganu in Malaysia

Bagheri, Milad ; Ibrahim, Zelina Z. ; Wolf, Isabelle D. ; Akhir, Mohd Fadzil ; Talaat, Wan Izatul Asma Wan ; Oryani, Bahareh

Environmental science and pollution research international, 2023-07, Vol.30 (34), p.81839-81857 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers
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A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers

Di Nunno, Fabio ; Race, Marco ; Granata, Francesco

Environmental science and pollution research international, 2022-06, Vol.29 (27), p.40623-40642 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling
Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling
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Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling

El Bilali, Ali ; Moukhliss, Mohammed ; Taleb, Abdeslam ; Nafii, Ayoub ; Alabjah, Bahija ; Brouziyne, Youssef ; Mazigh, Nouhaila ; Teznine, Khalid ; Mhamed, Madark

Environmental science and pollution research international, 2022-07, Vol.29 (31), p.47382-47398 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN
A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN

Zhang, Xianqi ; Chen, Haiyang ; Wen, Yihao ; Shi, Jinwen ; Xiao, Yimeng

Environmental science and pollution research international, 2023-04, Vol.30 (18), p.53381-53396 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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