Suspended sediment load (SSL) modelling is an important issue in integrated
environmental and water resources management, as sediment affects water quality and …

Simulation approaches employed in sediment processes are important for watershed
management and environmental impact assessment. Use of Stochastic models that based …

The integration of machine learning (ML) techniques in coastal engineering marks a
paradigm shift in how coastal processes are modeled and understood. While traditional …

With accelerating economic growth, expanding demand, and increasing development
intensity, the quality of the eco-environment has been decreasing. The western Chongqing …

Accurate prediction of suspended sediment (SS) concentration is a difficult task for water
resource projects. In recent years, methodologies such as artificial intelligence (AI) …

Abstract Development of cities, destruction of forests and pastures, population growth and
other factors have increased suspended sediment load in rivers of developing countries …

In the new decade due to rich and dense water resources, it is vital to have an accurate and
reliable sediment prediction and incorrect estimation of sediment rate has a huge negative …

At the present time, coastal changes are having a major impact in many regions of the world.
Relative sea-level rise would significantly contribute to physical changes in coastal cities …

The main aims of this study are (a) evaluating effects of discrete wavelet transforms (DWTs)
on the machine learning (ML) models,(b) evaluating ability of two types of ML models …

Estimation of suspended sediment load is one of the important topics in river engineering.
Different methods are used for estimating the sediment rate. In recent years, different …