In this paper, the discharge coefficient prediction model for this structure in a subcritical flow
regime is first established by extreme learning machine (ELM) and Bayesian network, and …

This research aims to predict a radial gate's discharge coefficient (Cd) under free and
submerged flow conditions using several machine learning (ML) algorithms. Several …

The present study collected a wide range of experimental data samples, including 855
records from various types of cylindrical weirs under diverse hydraulic conditions, setting the …

Predictions of total dissolved solids (TDS) in water bodies including rivers and lakes are
challenging but essential for the effective management of water resources in agricultural and …

Accurately predicting settlement of concrete face sandy gravel dams is a crucial yet
challenging task. The conventional approach of point forecasting can hardly describe the …

The present study represents the first use of kernel-based models to predict discharge
coefficient (Cd) for two distinct types of cylindrical weirs, featuring vertical support and a 30 …

Groundwater drought, as a form of hydrological drought, embodies the distinctive
characteristics of the aquifer and human-induced disruptions within the hydrological system …

The discharge coefficient plays a crucial role in estimation of discharge over sharp-crested
weirs. This study employs various hybrid optimization algorithms to predict the discharge …

Improving the precision of discharge coefficient (Cd) prediction is crucial for effective
agricultural water management. However, existing methods for Cd calculation are often …

Classification algorithms are one of the important research topics in the artificial intelligence,
widely applied in various scientific and engineering fields. Extreme learning machine is a …