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1
Forecasting GRACE Data over the African Watersheds Using Artificial Neural Networks
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Forecasting GRACE Data over the African Watersheds Using Artificial Neural Networks

Ahmed, Mohamed ; Sultan, Mohamed ; Elbayoumi, Tamer ; Tissot, Philippe

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1769 [Periódico revisado por pares]

Basel: MDPI AG

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2
Improved Rainfall Prediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region
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Improved Rainfall Prediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region

Peña, Mario ; Vázquez-Patiño, Angel ; Zhiña, Darío ; Montenegro, Martin ; Avilés, Alex Coscarelli, Roberto ; Roberto Coscarelli

Advances in meteorology, 2020, Vol.2020, p.1-17 [Periódico revisado por pares]

New York: Hindawi

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3
Groundwater Level Forecasting in the Jakarta Groundwater Basin
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Groundwater Level Forecasting in the Jakarta Groundwater Basin

Nur, Andi Agus ; Ruswandi, Dani De Santis, Angelo ; Angelo De Santis

International Journal of Geophysics, 2022-11, Vol.2022, p.1-12 [Periódico revisado por pares]

New York: Hindawi

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4
A Recursive Update Model for Estimating High-Resolution LAI Based on the NARX Neural Network and MODIS Times Series
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A Recursive Update Model for Estimating High-Resolution LAI Based on the NARX Neural Network and MODIS Times Series

Wang, Jian ; Wang, Jindi ; Shi, Yuechan ; Zhou, Hongmin ; Liao, Limin

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.219 [Periódico revisado por pares]

Basel: MDPI AG

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5
Estimating Time Series Soil Moisture by Applying Recurrent Nonlinear Autoregressive Neural Networks to Passive Microwave Data over the Heihe River Basin, China
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Estimating Time Series Soil Moisture by Applying Recurrent Nonlinear Autoregressive Neural Networks to Passive Microwave Data over the Heihe River Basin, China

Lu, Zheng ; Chai, Linna ; Liu, Shaomin ; Cui, Huizhen ; Zhang, Yanghua ; Jiang, Lingmei ; Jin, Rui ; Xu, Ziwei

Remote sensing (Basel, Switzerland), 2017-06, Vol.9 (6), p.574 [Periódico revisado por pares]

Basel: MDPI AG

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6
Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data—A Review
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Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data—A Review

Koehler, Jonas ; Kuenzer, Claudia

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3513 [Periódico revisado por pares]

Basel: MDPI AG

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7
Control Oriented Prediction of Driver Brake Intention and Intensity Using a Composite Machine Learning Approach
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Control Oriented Prediction of Driver Brake Intention and Intensity Using a Composite Machine Learning Approach

Zhou, Jianhao ; Sun, Jing ; He, Longqiang ; Ding, Yi ; Cao, Hanzhang ; Zhao, Wanzhong

Energies (Basel), 2019, Vol.12 (13), p.2483 [Periódico revisado por pares]

Basel: MDPI AG

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8
Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting
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Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting

Sahoo, Bibhuti Bhusan ; Jha, Ramakar ; Singh, Anshuman ; Kumar, Deepak

Acta geophysica, 2019-10, Vol.67 (5), p.1471-1481 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Records: An Innovative Approach
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Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Records: An Innovative Approach

Gyawali, Bimal ; Ahmed, Mohamed ; Murgulet, Dorina ; Wiese, David N.

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1565 [Periódico revisado por pares]

Basel: MDPI AG

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10
A Synoptic Climatological Analysis of the Atmospheric Drivers of Water Clarity Variability in the Great Lakes
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A Synoptic Climatological Analysis of the Atmospheric Drivers of Water Clarity Variability in the Great Lakes

Smith, Erik T. ; Lee, Cameron C. ; Barnes, Brian B. ; Adams, Ryan E. ; Pirhalla, Douglas E. ; Ransibrahmanakul, Varis ; Hu, Chuanmin ; Sheridan, Scott C.

Journal of applied meteorology and climatology, 2020-05, Vol.59 (5), p.915-935 [Periódico revisado por pares]

Boston: American Meteorological Society

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