Suspended sediment load prediction using sparrow search algorithm-based support vector machine model
Prediction of suspended sediment load (SSL) in streams is significant in hydrological
modeling and water resources engineering. Development of a consistent and accurate …
modeling and water resources engineering. Development of a consistent and accurate …
Prediction of sediment load through novel SVM-FOA approach: A case study
Suspended sediment load (SSL) prediction in streams or rivers is essential for sustainable
environmental systems and water resource engineering. Sediment has a major influence on …
environmental systems and water resource engineering. Sediment has a major influence on …
Implementation of hybrid particle swarm optimization-differential evolution algorithms coupled with multi-layer perceptron for suspended sediment load estimation
River suspended sediment load (SSL) estimation is of importance in water resources
engineering and hydrological modeling. In this study, a novel hybrid approach is …
engineering and hydrological modeling. In this study, a novel hybrid approach is …
Prediction of sedimentation in a watershed using RNN and SVM
A Sahoo, A Barik, S Samantaray, DK Ghose - … Software and Networks …, 2021 - Springer
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 …
A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia
MS Hanoon, AA Abdullatif B, AN Ahmed… - Earth Science …, 2022 - Springer
Accurate and reliable suspended sediment load (SSL) prediction models are necessary for
the planning and management of water resource structures. In this study, four machine …
the planning and management of water resource structures. In this study, four machine …
A comparative analysis of artificial neural network and support vector regression for river suspended sediment load prediction
The artificial neural network (ANN) model and support vector regression (SVR) model have
gained tremendous popularity among the researchers during the past couple of decades …
gained tremendous popularity among the researchers during the past couple of decades …
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 …
Evaluating the performance of four different heuristic approaches with Gamma test for daily suspended sediment concentration modeling
Accurate prediction of suspended sediment concentration (SSC) carried by a river or
watershed basin is essential for understanding the hydrology of basin in terms of water …
watershed basin is essential for understanding the hydrology of basin in terms of water …
Prediction of suspended sediment concentration using hybrid SVM-WOA approaches
S Samantaray, A Sahoo - Geocarto International, 2022 - Taylor & Francis
Suspended sediment concentration (SSC) is one of the primary reasons with respect to
watersheds or river basins, which must be assessed in a correct manner so that it will help …
watersheds or river basins, which must be assessed in a correct manner so that it will help …
Assessment of sediment load concentration using SVM, SVM-FFA and PSR-SVM-FFA in arid watershed, India: a case study
S Samantaray, A Sahoo, DK Ghose - KSCE Journal of Civil Engineering, 2020 - Springer
Improvement in area of artificial intelligence for predicting different hydrological
phenomenon has shaped an enormous alteration in predictions. Knowledge on suspended …
phenomenon has shaped an enormous alteration in predictions. Knowledge on suspended …