Artificial intelligence for suspended sediment load prediction: a review
The estimation of sediment yield concentration is crucial for the development of stream
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling
As a complex hydrological problem, rainfall-runoff (RR) modeling is of importance in runoff
studies, water supply, irrigation issues, and environmental management. Among the variety …
studies, water supply, irrigation issues, and environmental management. Among the variety …
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
W Chen, D Sharifrazi, G Liang, SS Band… - Engineering …, 2022 - Taylor & Francis
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …
attention among hydraulic engineers, mainly owing to their established performance with …
[图书][B] Machine learning methods in the environmental sciences: Neural networks and kernels
WW Hsieh - 2009 - books.google.com
Machine learning methods originated from artificial intelligence and are now used in various
fields in environmental sciences today. This is the first single-authored textbook providing a …
fields in environmental sciences today. This is the first single-authored textbook providing a …
Daily suspended sediment load prediction using artificial neural networks and support vector machines
In recent decades, development of artificial intelligence, as a predictor for hydrological
phenomenon, has created a great change in predictions. This paper investigates the …
phenomenon, has created a great change in predictions. This paper investigates the …
[HTML][HTML] Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
Accurate estimation of pan evaporation (E p) is of great significance to the development of
agricultural irrigation systems and agricultural water resources management. The purpose of …
agricultural irrigation systems and agricultural water resources management. The purpose of …
A framework for modeling flood depth using a hybrid of hydraulics and machine learning
Solving river engineering problems typically requires river flow characterization, including
the prediction of flow depth, flow velocity, and flood extent. Hydraulic models use governing …
the prediction of flow depth, flow velocity, and flood extent. Hydraulic models use governing …
[图书][B] Data mining in agriculture
Data Mining in Agriculture represents a comprehensive effort to provide graduate students
and researchers with an analytical text on data mining techniques applied to agriculture and …
and researchers with an analytical text on data mining techniques applied to agriculture and …
Sediment transport modeling review—current and future developments
ATN Papanicolaou, M Elhakeem, G Krallis… - Journal of hydraulic …, 2008 - ascelibrary.org
The use of computational models for solving sediment transport and fate problems is
relatively recent compared with the use of physical models. Several considerations govern …
relatively recent compared with the use of physical models. Several considerations govern …
Evaluation and development of a predictive model for geophysical well log data analysis and reservoir characterization: Machine learning applications to lithology …
This work critically evaluated the applicability of machine learning methodology applied to
automated well log creation towards reliable lithology prediction and subsequent reservoir …
automated well log creation towards reliable lithology prediction and subsequent reservoir …