This research focuses on optimizing the prediction of discharge coefficient (Cd) of triangular
side orifices (TSO) using a novel stacked model (SM) incorporating five machine learning …

The discharge coefficient (Cd) plays a vital role in the accurate design and safety of weirs,
spillways, and dams. In the last decade, Soft Computing (SC) models, which showed …

Flow measurement is an essential requirement for monitoring and controlling oil movements
through pipelines and facilities. However, delivering reliably accurate measurements …

In irrigation channel system, diverse side orifice shapes (eg, circular, rectangular, or
triangular) are widely designed for flow control and regulation. Hence, accurate estimating …

Weir is a hydraulic structure used to regulate and measure flow in irrigation projects. In order
to increase the discharge capacity of the weirs and minimize upstream sedimentation, weirs …

This study utilized machine learning models to predict the discharge coefficient for a sharp-
crested triangular side orifice (TSO). The chosen models were the Artificial Neural Network …

This paper highlights the use, in agriculture, of a multi-sensors system coupled to machine
learning algorithms for the prediction of mint treatment day with an insecticide containing the …

In the present study, two kernel-based data-intelligence paradigms, namely, Gaussian
Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along with …

Side orifices are commonly installed in the side of a main channel to spill or divert some of
the flow from the source channel to lateral channels. The aim of the present study is the …

For safe design of culverts, the estimation of scour depth downstream of the culvert outlet is
one of the most remarkable considerations. Poor design of culverts inevitably leads to …