Machine learning and interactive GUI for concrete compressive strength prediction
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …
structure design. Reliable strength prediction reduces costs and time in design and prevents …
Stacked ensemble model for optimized prediction of triangular side orifice discharge coefficient
MK Elshaarawy, AK Hamed - Engineering Optimization, 2024 - Taylor & Francis
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 …
side orifices (TSO) using a novel stacked model (SM) incorporating five machine learning …
A comparative study of black-box and white-box data-driven methods to predict landfill leachate permeability
Due to the dynamic and complexity of leachate percolation within municipal solid waste
(MSW), planning and operation of solid waste management systems are challenging for …
(MSW), planning and operation of solid waste management systems are challenging for …
Enhancing discharge prediction over Type-A piano key weirs: An innovative machine learning approach
Piano key weirs (PKWs) are an increasingly popular hydraulic structure due to their higher
discharge capacity than linear weirs. Accurately predicting the discharge of PKWs is …
discharge capacity than linear weirs. Accurately predicting the discharge of PKWs is …
Determining seepage loss predictions in lined canals through optimizing advanced gradient boosting techniques
Ensuring accurate estimation of seepage loss is critical for advancing water sustainability,
especially in water-scarce regions. This study is aimed at evaluating the performance of …
especially in water-scarce regions. This study is aimed at evaluating the performance of …
A machine learning based acceleration of segregated pressure correction algorithms for incompressible fluid flow
Segregated pressure correction algorithms are widely used in the simulation of steady-state
incompressible fluid flow. However, these traditional solution algorithms usually require high …
incompressible fluid flow. However, these traditional solution algorithms usually require high …
Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators
S Sammil, M Sridharan - Thermal Science and Engineering Progress, 2024 - Elsevier
In this study, advanced machine learning techniques were utilized to forecast the
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …
Kernel-based framework for improved prediction of discharge coefficient in vertically supported cylindrical weirs
K Roushangar, A Mehrizad - Journal of Hydroinformatics, 2024 - iwaponline.com
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 …
coefficient (Cd) for two distinct types of cylindrical weirs, featuring vertical support and a 30 …
Spatio-temporal water height prediction for dam break flows using deep learning
Spatio-temporal prediction of the water height for dam break flow is of great significance in
flood control projects. In this article, we propose a novel deep learning model named AE …
flood control projects. In this article, we propose a novel deep learning model named AE …
Prediction of Depth-Averaged Velocity for Flow Though Submerged Vegetation Using Least Squares Support Vector Machine with Bayesian Optimization
Y Deng, Y Liu - Water Resources Management, 2024 - Springer
Considering the limited accuracy of classical empirical formulas and traditional Machine
Learning (ML) models for predicting the depth-averaged velocity of flow through submerged …
Learning (ML) models for predicting the depth-averaged velocity of flow through submerged …