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Refinado por: Lista de Todas as Versões Water remover
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1
Comparative Evaluation of ANN- and SVM-Time Series Models for Predicting Freshwater-Saltwater Interface Fluctuations
Comparative Evaluation of ANN- and SVM-Time Series Models for Predicting Freshwater-Saltwater Interface Fluctuations
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Comparative Evaluation of ANN- and SVM-Time Series Models for Predicting Freshwater-Saltwater Interface Fluctuations

Yoon, Heesung ; Kim, Yongcheol ; Ha, Kyoochul ; Lee, Soo-Hyoung ; Kim, Gee-Pyo

Water (Basel), 2017-05, Vol.9 (5), p.323 [Periódico revisado por pares]

Basel: MDPI AG

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2
Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran
Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran
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Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran

Fereidoon, Majid ; Koch, Manfred

Water (Basel), 2018-07, Vol.10 (7), p.964 [Periódico revisado por pares]

Basel: MDPI AG

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3
Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models
Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models
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Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models

Chang, Li-Chiu ; Amin, Mohd ; Yang, Shun-Nien ; Chang, Fi-John

Water (Basel), 2018-09, Vol.10 (9), p.1283 [Periódico revisado por pares]

Basel: MDPI AG

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4
Flood Prediction Using Machine Learning Models: Literature Review
Flood Prediction Using Machine Learning Models: Literature Review
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Flood Prediction Using Machine Learning Models: Literature Review

Mosavi, Amir ; Ozturk, Pinar ; Chau, Kwok-wing

Water (Basel), 2018-10, Vol.10 (11), p.1536 [Periódico revisado por pares]

Basel: MDPI AG

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5
Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting
Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting
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Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting

Tian, Ye ; Xu, Yue-Ping ; Yang, Zongliang ; Wang, Guoqing ; Zhu, Qian

Water (Basel), 2018-11, Vol.10 (11), p.1655 [Periódico revisado por pares]

Basel: MDPI AG

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6
A Multi-Sourced Data Retrodiction of Remotely Sensed Terrestrial Water Storage Changes for West Africa
A Multi-Sourced Data Retrodiction of Remotely Sensed Terrestrial Water Storage Changes for West Africa
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A Multi-Sourced Data Retrodiction of Remotely Sensed Terrestrial Water Storage Changes for West Africa

Ferreira, Vagner ; Andam-Akorful, Samuel ; Dannouf, Ramia ; Adu-Afari, Emmanuel

Water (Basel), 2019-02, Vol.11 (2), p.401 [Periódico revisado por pares]

Basel: MDPI AG

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7
Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting
Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting
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Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

Apaydin, Halit ; Feizi, Hajar ; Sattari, Mohammad Taghi ; Colak, Muslume Sevba ; Shamshirband, Shahaboddin ; Chau, Kwok-Wing

Water (Basel), 2020-05, Vol.12 (5), p.1500 [Periódico revisado por pares]

Basel: MDPI AG

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8
Regional Inundation Forecasting Using Machine Learning Techniques with the Internet of Things
Regional Inundation Forecasting Using Machine Learning Techniques with the Internet of Things
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Regional Inundation Forecasting Using Machine Learning Techniques with the Internet of Things

Yang, Shun-Nien ; Chang, Li-Chiu

Water (Basel), 2020-06, Vol.12 (6) [Periódico revisado por pares]

MDPI AG

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9
Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)
Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)
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Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)

Thapa, Samit ; Zhao, Zebin ; Li, Bo ; Lu, Lu ; Fu, Donglei ; Shi, Xiaofei ; Tang, Bo ; Qi, Hong

Water (Basel), 2020-06, Vol.12 (6), p.1734 [Periódico revisado por pares]

Basel: MDPI AG

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10
Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN
Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN
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Evaluating the Impacts of Pumping on Aquifer Depletion in Arid Regions Using MODFLOW, ANFIS and ANN

Almuhaylan, Mohammed R. ; Ghumman, Abdul Razzaq ; Al-Salamah, Ibrahim Saleh ; Ahmad, Afaq ; Ghazaw, Yousry M. ; Haider, Husnain ; Shafiquzzaman, Md

Water (Basel), 2020-08, Vol.12 (8), p.2297 [Periódico revisado por pares]

Basel: MDPI AG

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