Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
An accurate model for sediment prediction is a priority for all hydrological researchers. Many
conventional methods have shown an inability to achieve an accurate prediction of …
conventional methods have shown an inability to achieve an accurate prediction of …
Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art
Simulation approaches employed in sediment processes are important for watershed
management and environmental impact assessment. Use of Stochastic models that based …
management and environmental impact assessment. Use of Stochastic models that based …
Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad
M Al-Mukhtar - Environmental monitoring and assessment, 2019 - Springer
Suspended sediment is one of the most influential parameters on the water bodies' pollution.
It can carry different pollutants with different concentration through the suspension …
It can carry different pollutants with different concentration through the suspension …
Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer‐Teacher‐Learner‐Based …
Predicting suspended sediment load (SSL) in water resource management requires efficient
and reliable predicted models. This study considers the support vector regression (SVR) …
and reliable predicted models. This study considers the support vector regression (SVR) …
Assessing the applicability of TMPA-3B42V7 precipitation dataset in wavelet-support vector machine approach for suspended sediment load prediction
In the present study, the latest Tropical Rainfall Measuring Mission (TRMM) Multi-satellite
Precipitation Analysis (TMPA) research product 3B42V7 has been evaluated over gauge …
Precipitation Analysis (TMPA) research product 3B42V7 has been evaluated over gauge …
Evaluating the support vector machine for suspended sediment load forecasting based on gamma test
Due to the various influencing factors on river suspended sediment transportation,
determining an appropriate input combination for develo** the suspended sediment load …
determining an appropriate input combination for develo** the suspended sediment load …
A comparative study of extreme learning machines and support vector machines in prediction of sediment transport in open channels
The limiting velocity in open channels to prevent long-term sedimentation is predicted in this
paper using a powerful soft computing technique known as Extreme Learning Machines …
paper using a powerful soft computing technique known as Extreme Learning Machines …
Prediction of sedimentation in a watershed using RNN and SVM
Sediment transport in rivers generally occurs at time of severe proceedings linked with
strong precipitation and high flow of rivers. Traditional ways to collect data in high-risk …
strong precipitation and high flow of rivers. Traditional ways to collect data in high-risk …
An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models
Predicting sediment transport rate (STR) in the presence of flexible vegetation is a critical
task for modelers. Sediment transport modeling methods in the coastal region is equally …
task for modelers. Sediment transport modeling methods in the coastal region is equally …
Ensemble wavelet-support vector machine approach for prediction of suspended sediment load using hydrometeorological data
Explicit prediction of the suspended sediment loads in rivers or streams is very crucial for
sustainable water resources and environmental systems. Suspended sediments are a …
sustainable water resources and environmental systems. Suspended sediments are a …