Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
Review of recent trends in the hybridisation of preprocessing-based and parameter optimisation-based hybrid models to forecast univariate streamflow
Forecasting river flow is crucial for optimal planning, management, and sustainability using
freshwater resources. Many machine learning (ML) approaches have been enhanced to …
freshwater resources. Many machine learning (ML) approaches have been enhanced to …
Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
WJ Wee, KL Chong, AN Ahmed, MBA Malek… - Applied Water …, 2023 - Springer
Hydrologists rely extensively on anticipating river streamflow (SF) to monitor and regulate
flood management and water demand for people. Only a few simulation systems, where …
flood management and water demand for people. Only a few simulation systems, where …
Prediction of durability of reinforced concrete based on hybrid-Bp neural network
Q Feng, X **e, P Wang, H Qiao, Y Zhang… - Construction and Building …, 2024 - Elsevier
Mix proportion design has a significant influence on the durability of reinforced concrete
(RC). Conventional simple equations encounter challenges in effectively guiding the …
(RC). Conventional simple equations encounter challenges in effectively guiding the …
Weekly streamflow forecasting of Rhine river based on machine learning approaches
Abstract The Rhine River is a vital waterway in Europe, crucial for navigation, hydropower
generation, and ecosystem health. Thus, accurately forecasting its streamflow is essential for …
generation, and ecosystem health. Thus, accurately forecasting its streamflow is essential for …