Genetic programming in water resources engineering: A state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …
automatic generation of computer programs. In recent decades, GP has been frequently …
Machine learning models for estimating the compressive strength of rubberized concrete subjected to elevated temperature: Optimization and hyper-tuning
The incorporation of rubber fibers (RFs) brings about significant divergence in the
characteristics of rubberized concrete when contrasted with traditional varieties. Thus …
characteristics of rubberized concrete when contrasted with traditional varieties. Thus …
Experimental investigation of synthesized Al2O3 Ionanofluid's energy storage properties: Model-prediction using gene expression programming
Abstract In this work, 3-hydroxy-1-(4-(1-methyl piperidine-1-ium-1-yl) butyl) quinuclidine-1-
ium bromide ionic liquid (IL) is synthesized. Al 2 O 3 (~ 50 nm) nanoparticles (NPs) were …
ium bromide ionic liquid (IL) is synthesized. Al 2 O 3 (~ 50 nm) nanoparticles (NPs) were …
Investigation on two-phase fluid mixture flow, heat transfer and entropy generation of a non-Newtonian water-CMC/CuO nanofluid inside a twisted tube with variable …
A 3-D numerical investigation is performed to evaluate the effect of variable twist pitch on the
hydrothermal behavior and entropy generation features of non-Newtonian water-CMC/CuO …
hydrothermal behavior and entropy generation features of non-Newtonian water-CMC/CuO …
[HTML][HTML] Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm
An accurate assessment of energy loss across dams and weir systems is a critical technical
and monetary remedy for understanding the hydraulic system's downstream morphology …
and monetary remedy for understanding the hydraulic system's downstream morphology …
Machine learning and interactive GUI for estimating roller length of hydraulic jumps
Hydraulic jumps reduce kinetic energy after ogee spillways, improve wastewater
chlorination, and serve many hydraulic applications. This study utilized seven Machine …
chlorination, and serve many hydraulic applications. This study utilized seven Machine …
Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length
Hydraulic jumps generally occur subsequent to structures such as ogee spillways, control
gates, and weirs. The jump roller length is considered one of the main hydraulic jump …
gates, and weirs. The jump roller length is considered one of the main hydraulic jump …
Prediction of hydraulic jumps on a triangular bed roughness using numerical modeling and soft computing methods
This study investigates the characteristics of free and submerged hydraulic jumps on the
triangular bed roughness in various T/I ratios (ie, height and distance of roughness) using …
triangular bed roughness in various T/I ratios (ie, height and distance of roughness) using …
Comparative study on the machine learning and regression-based approaches to predict the hydraulic jump sequent depth ratio
The hydraulic jump phenomenon plays a significant role in dissipating the energy of the
upstream current in either natural or artificial waterways. River's bed roughness is defined as …
upstream current in either natural or artificial waterways. River's bed roughness is defined as …
Estimation of water level fluctuations in groundwater through a hybrid learning machine
A Azizpour, MA Izadbakhsh, S Shabanlou… - Groundwater for …, 2021 - Elsevier
In the present study, a new hybrid artificial intelligence-based model is presented to simulate
monthly time-series data relevant to groundwater quantity collected from an observation well …
monthly time-series data relevant to groundwater quantity collected from an observation well …