A Comprehensive Review of Methods for Hydrological Forecasting Based on Deep Learning
X Zhao, H Wang, M Bai, Y Xu, S Dong, H Rao, W Ming - Water, 2024 - mdpi.com
Artificial intelligence has undergone rapid development in the last thirty years and has been
widely used in the fields of materials, new energy, medicine, and engineering. Similarly, a …
widely used in the fields of materials, new energy, medicine, and engineering. Similarly, a …
Imaging of moho topography with conditional generative adversarial network from observed gravity anomalies
Accurate estimation of Moho topography plays a crucial role in understanding Earth's
structure, geodynamic processes, and resource exploration. This study presents a novel …
structure, geodynamic processes, and resource exploration. This study presents a novel …
Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
L Krishnamoorthy, VR Lakshmanan - Environmental Science and …, 2024 - Springer
Water plays a significant role in sustaining the lives of humans and other living organisms.
Groundwater quality analysis has become inevitable, because of increased contamination of …
Groundwater quality analysis has become inevitable, because of increased contamination of …
A Novel Stochastic Tree Model for Daily Streamflow Prediction Based on A Noise Suppression Hybridization Algorithm and Efficient Uncertainty Quantification
Streamflow prediction is one of the critical components of hydrological interactions and a
vital step for integrated water resources management for different water-related sectors …
vital step for integrated water resources management for different water-related sectors …
Boosting algorithms for projecting streamflow in the Lower Godavari Basin for different climate change scenarios
The present study investigates the ability of five boosting algorithms, namely Adaptive
Boosting (AdaBoost), Categorical Boosting (CatBoost), Light Gradient Boosting (LGBoost) …
Boosting (AdaBoost), Categorical Boosting (CatBoost), Light Gradient Boosting (LGBoost) …
Do non-linearity and non-Gaussianity truly matter in streamflow forecasting? A comparative study between PAR (p) and vine copula for Brazilian streamflow time …
GA de Almeida Pereira… - Environmental Monitoring …, 2024 - Springer
This study evaluates the joint impact of non-linearity and non-Gaussianity on predictive
performance in 23 Brazilian monthly streamflow time series from 1931 to 2022. We consider …
performance in 23 Brazilian monthly streamflow time series from 1931 to 2022. We consider …
[PDF][PDF] A Comprehensive Review of Methods for Hydrological Forecasting Based on Deep Learning. Water 2024, 16, 1407
X Zhao, H Wang, M Bai, Y Xu, S Dong, H Rao, W Ming - 2024 - researchgate.net
Artificial intelligence has undergone rapid development in the last thirty years and has been
widely used in the fields of materials, new energy, medicine, and engineering. Similarly, a …
widely used in the fields of materials, new energy, medicine, and engineering. Similarly, a …
Extraction of Surface Water Extent: Automated Thresholding Approaches
M Sathish Kumar - Environmental Sciences Proceedings, 2023 - mdpi.com
Inland water bodies play a crucial role in both ecological and sociological contexts. The
distribution of these water bodies can change over time due to natural or human-induced …
distribution of these water bodies can change over time due to natural or human-induced …
Apa Barajı havzasındaki hidrolojik parametrelerin makine öğrenmesi ile tahmini
T Tuğrul - 2024 - acikerisim.aksaray.edu.tr
Son yıllarda, özellikle de sanayi devriminden sonra insanoğlunun suya olan ihtiyacı
artmıştır. Canlılar için yaşamsal önemi tartışılmaz olan bu suyun, gelecekteki ve mevcut …
artmıştır. Canlılar için yaşamsal önemi tartışılmaz olan bu suyun, gelecekteki ve mevcut …
[PDF][PDF] Extraction of Surface Water Extent: Automated Thresholding Approaches
MS Kumar - Presented at the 5th International electronic …, 2023 - sciforum.net
Inland water bodies play a crucial role in both ecological and sociological contexts. The
distribution of these water bodies can change over time due to natural or human-induced …
distribution of these water bodies can change over time due to natural or human-induced …