Hossein Moayedi

Orcid: 0000-0002-5625-1437

According to our database1, Hossein Moayedi authored at least 48 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Three intelligent computational models to predict the high-performance concrete mixture.
Neural Comput. Appl., 2024

2022
A water cycle-based error minimization technique in predicting the bearing capacity of shallow foundation.
Eng. Comput., 2022

2021
The feasibility of PSO-ANFIS in estimating bearing capacity of strip foundations rested on cohesionless slope.
Neural Comput. Appl., 2021

Teaching-learning-based metaheuristic scheme for modifying neural computing in appraising energy performance of building.
Eng. Comput., 2021

A novel constitutive modelling approach measured under simulated freeze-thaw cycles for the rock failure.
Eng. Comput., 2021

Genetic algorithm hybridized with multilayer perceptron to have an economical slope stability design.
Eng. Comput., 2021

A novel Harris hawks' optimization and k-fold cross-validation predicting slope stability.
Eng. Comput., 2021

Novel metaheuristic classification approach in developing mathematical model-based solutions predicting failure in shallow footing.
Eng. Comput., 2021

Nonlinear evolutionary swarm intelligence of grasshopper optimization algorithm and gray wolf optimization for weight adjustment of neural network.
Eng. Comput., 2021

Swarm-based analysis through social behavior of grey wolf optimization and genetic programming to predict friction capacity of driven piles.
Eng. Comput., 2021

Application of nonlocal strain-stress gradient theory and GDQEM for thermo-vibration responses of a laminated composite nanoshell.
Eng. Comput., 2021

Comparison of dragonfly algorithm and Harris hawks optimization evolutionary data mining techniques for the assessment of bearing capacity of footings over two-layer foundation soils.
Eng. Comput., 2021

A novel artificial intelligence technique for analyzing slope stability using PSO-CA model.
Eng. Comput., 2021

Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil.
Eng. Comput., 2021

Sine cosine grey wolf optimizer to solve engineering design problems.
Eng. Comput., 2021

Harmonized salp chain-built optimization.
Eng. Comput., 2021

Computational modification of neural systems using a novel stochastic search scheme, namely evaporation rate-based water cycle algorithm: an application in geotechnical issues.
Eng. Comput., 2021

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model.
Eng. Comput., 2021

Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete.
Eng. Comput., 2021

Analyzing Uniaxial Compressive Strength of Concrete Using a Novel Satin Bowerbird Optimizer.
CoRR, 2021

Synthesizing multi-layer perceptron network with ant lion, biogeography-based dragonfly algorithm evolutionary strategy invasive weed and league champion optimization hybrid algorithms in predicting heating load in residential buildings.
CoRR, 2021

2020
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques.
Sensors, 2020

A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications.
Neural Comput. Appl., 2020

Evaluation and comparison of the advanced metaheuristic and conventional machine learning methods for the prediction of landslide occurrence.
Eng. Comput., 2020

The performance of six neural-evolutionary classification techniques combined with multi-layer perception in two-layered cohesive slope stability analysis and failure recognition.
Eng. Comput., 2020

Feasibility of a novel predictive technique based on artificial neural network optimized with particle swarm optimization estimating pullout bearing capacity of helical piles.
Eng. Comput., 2020

Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system.
Eng. Comput., 2020

Optimizing ANN models with PSO for predicting short building seismic response.
Eng. Comput., 2020

Optimization of ANFIS with GA and PSO estimating α ratio in driven piles.
Eng. Comput., 2020

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models.
Eng. Comput., 2020

Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system.
Eng. Comput., 2020

Developing a predictive method based on optimized M5Rules-GA predicting heating load of an energy-efficient building system.
Eng. Comput., 2020

Application of PSO-ANN modelling for predicting the exergetic performance of a building integrated photovoltaic/thermal system.
Eng. Comput., 2020

Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis.
Expert Syst. Appl., 2020

A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems.
Appl. Soft Comput., 2020

Influence of a Proposed Switching Method on Reliability and Total Harmonic Distortion of the Quasi Z-Source Inverters.
IEEE Access, 2020

2019
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles.
Sensors, 2019

Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic.
Sensors, 2019

A Novel Swarm Intelligence - Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility.
Sensors, 2019

Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques.
Sensors, 2019

An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand.
Neural Comput. Appl., 2019

Artificial intelligence design charts for predicting friction capacity of driven pile in clay.
Neural Comput. Appl., 2019

The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes.
ISPRS Int. J. Geo Inf., 2019

Predicting Slope Stability Failure through Machine Learning Paradigms.
ISPRS Int. J. Geo Inf., 2019

Modification of landslide susceptibility mapping using optimized PSO-ANN technique.
Eng. Comput., 2019

Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms.
Appl. Soft Comput., 2019

2018
Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil.
Eng. Comput., 2018

Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods.
Appl. Soft Comput., 2018


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