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Refinado por: Lista de Todas as Versões Environmental Sciences remover
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Synthetic Time Series Data in Groundwater Analytics: Challenges, Insights, and Applications
Synthetic Time Series Data in Groundwater Analytics: Challenges, Insights, and Applications
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Synthetic Time Series Data in Groundwater Analytics: Challenges, Insights, and Applications

Pulla, Sarva T ; Yasarer, Hakan ; Yarbrough, Lance D

Water (Basel), 2024-04, Vol.16 (7), p.949 [Periódico revisado por pares]

MDPI AG

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2
A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China
A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China
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A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China

Zhang, Jialun ; Dong, Donglin ; Zhang, Longqiang

Water (Basel), 2023-12, Vol.15 (23), p.4129 [Periódico revisado por pares]

MDPI AG

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3
Enhancing Accuracy of Groundwater Level Forecasting with Minimal Computational Complexity Using Temporal Convolutional Network
Enhancing Accuracy of Groundwater Level Forecasting with Minimal Computational Complexity Using Temporal Convolutional Network
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Enhancing Accuracy of Groundwater Level Forecasting with Minimal Computational Complexity Using Temporal Convolutional Network

Haider, Adnan ; Lee, Gwanghee ; Jafri, Turab H. ; Yoon, Pilsun ; Piao, Jize ; Jhang, Kyoungson

Water (Basel), 2023-12, Vol.15 (23), p.4041 [Periódico revisado por pares]

Basel: MDPI AG

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4
Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan
Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan
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Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan

Kassem, Youssef ; Gökçekuş, Hüseyin ; Alijl, Nour

Sustainability (Basel, Switzerland), 2023-08, Vol.15 (15), p.11965 [Periódico revisado por pares]

MDPI AG

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5
Machine-Learning-Based Lithosphere-Atmosphere-Ionosphere Coupling Associated with Mw 6 Earthquakes in America
Machine-Learning-Based Lithosphere-Atmosphere-Ionosphere Coupling Associated with Mw 6 Earthquakes in America
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Machine-Learning-Based Lithosphere-Atmosphere-Ionosphere Coupling Associated with Mw 6 Earthquakes in America

Shah, Munawar ; Shahzad, Rasim ; Jamjareegulgarn, Punyawi ; Ghaffar, Bushra ; Oliveira-Júnior, José Francisco de ; Hassan, Ahmed M ; Ghamry, Nivin A

Atmosphere, 2023-08, Vol.14 (8), p.1236 [Periódico revisado por pares]

MDPI AG

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6
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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7
Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions
Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions
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Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions

Baalousha, Husam Musa ; Younes, Anis ; Yassin, Mohamed A. ; Fahs, Marwan

Hydrology, 2023-07, Vol.10 (7), p.136 [Periódico revisado por pares]

MDPI AG

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8
Water Quality Evaluation and Prediction Using Irrigation Indices, Artificial Neural Networks, and Partial Least Square Regression Models for the Nile River, Egypt
Water Quality Evaluation and Prediction Using Irrigation Indices, Artificial Neural Networks, and Partial Least Square Regression Models for the Nile River, Egypt
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Water Quality Evaluation and Prediction Using Irrigation Indices, Artificial Neural Networks, and Partial Least Square Regression Models for the Nile River, Egypt

Gad, Mohamed ; Saleh, Ali H. ; Hussein, Hend ; Elsayed, Salah ; Farouk, Mohamed

Water (Basel), 2023-06, Vol.15 (12), p.2244 [Periódico revisado por pares]

MDPI AG

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9
A Comparative Analysis of Multiple Machine Learning Methods for Flood Routing in the Yangtze River
A Comparative Analysis of Multiple Machine Learning Methods for Flood Routing in the Yangtze River
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A Comparative Analysis of Multiple Machine Learning Methods for Flood Routing in the Yangtze River

Zhou, Liwei ; Kang, Ling

Water (Basel), 2023-04, Vol.15 (8), p.1556 [Periódico revisado por pares]

MDPI AG

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10
Streamflow Simulation with High-Resolution WRF Input Variables Based on the CNN-LSTM Hybrid Model and Gamma Test
Streamflow Simulation with High-Resolution WRF Input Variables Based on the CNN-LSTM Hybrid Model and Gamma Test
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Streamflow Simulation with High-Resolution WRF Input Variables Based on the CNN-LSTM Hybrid Model and Gamma Test

Wang, Yizhi ; Liu, Jia ; Xu, Lin ; Yu, Fuliang ; Zhang, Shanjun

Water (Basel), 2023-04, Vol.15 (7), p.1422 [Periódico revisado por pares]

Basel: MDPI AG

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