Danial Jahed Armaghani

According to our database1, Danial Jahed Armaghani authored at least 69 papers between 2016 and 2022.

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

Timeline

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Bibliography

2022
A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index.
Neural Comput. Appl., 2022

Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass.
Eng. Comput., 2022

A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration.
Eng. Comput., 2022

Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure.
Eng. Comput., 2022

The smooth transition GARCH model for simulation of highly nonstationary earthquake ground motions.
Eng. Comput., 2022

A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil.
Eng. Comput., 2022

Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms.
Eng. Comput., 2022

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity.
Artif. Intell. Rev., 2022

2021
A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass.
Soft Comput., 2021

Estimation of ultimate bearing capacity of driven piles in c-φ soil using MLP-GWO and ANFIS-GWO models: a comparative study.
Soft Comput., 2021

TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm.
Neural Comput. Appl., 2021

Prediction of cement-based mortars compressive strength using machine learning techniques.
Neural Comput. Appl., 2021

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength.
Neural Comput. Appl., 2021

Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network.
J. Adv. Eng. Comput., 2021

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm.
Eng. Comput., 2021

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles.
Eng. Comput., 2021

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples.
Eng. Comput., 2021

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns.
Eng. Comput., 2021

Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill.
Eng. Comput., 2021

Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS.
Eng. Comput., 2021

A new development of ANFIS-GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets.
Eng. Comput., 2021

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting.
Eng. Comput., 2021

A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET.
Eng. Comput., 2021

Strength evaluation of granite block samples with different predictive models.
Eng. Comput., 2021

A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration.
Eng. Comput., 2021

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine.
Eng. Comput., 2021

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate.
Eng. Appl. Artif. Intell., 2021

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA.
Appl. Soft Comput., 2021

Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models.
IEEE Access, 2021

2020
Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets.
Neural Comput. Appl., 2020

The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production.
Eng. Comput., 2020

The use of new intelligent techniques in designing retaining walls.
Eng. Comput., 2020

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance.
Eng. Comput., 2020

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile.
Eng. Comput., 2020

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm.
Eng. Comput., 2020

The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock.
IEEE Access, 2020

2019
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions.
Soft Comput., 2019

Three hybrid intelligent models in estimating flyrock distance resulting from blasting.
Eng. Comput., 2019

Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique.
IEEE Access, 2019

2018
Rock strength estimation: a PSO-based BP approach.
Neural Comput. Appl., 2018

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm.
Neural Comput. Appl., 2018

Uniaxial compressive strength prediction through a new technique based on gene expression programming.
Neural Comput. Appl., 2018

Airblast prediction through a hybrid genetic algorithm-ANN model.
Neural Comput. Appl., 2018

Feasibility of ICA in approximating ground vibration resulting from mine blasting.
Neural Comput. Appl., 2018

Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming.
Neural Comput. Appl., 2018

Prediction of the durability of limestone aggregates using computational techniques.
Neural Comput. Appl., 2018

Prediction of bearing capacity of thin-walled foundation: a simulation approach.
Eng. Comput., 2018

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

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples.
Eng. Comput., 2018

Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm.
Eng. Comput., 2018

Performance prediction of tunnel boring machine through developing a gene expression programming equation.
Eng. Comput., 2018

2017
An optimized ANN model based on genetic algorithm for predicting ripping production.
Neural Comput. Appl., 2017

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.
Neural Comput. Appl., 2017

Developing a hybrid PSO-ANN model for estimating the ultimate bearing capacity of rock-socketed piles.
Neural Comput. Appl., 2017

A Monte Carlo technique in safety assessment of slope under seismic condition.
Eng. Comput., 2017

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models.
Eng. Comput., 2017

Classification and regression tree technique in estimating peak particle velocity caused by blasting.
Eng. Comput., 2017

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model.
Eng. Comput., 2017

Forecasting blast-induced ground vibration developing a CART model.
Eng. Comput., 2017

2016
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting.
Eng. Comput., 2016

Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques.
Eng. Comput., 2016

Rock strength assessment based on regression tree technique.
Eng. Comput., 2016

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling.
Eng. Comput., 2016

Several non-linear models in estimating air-overpressure resulting from mine blasting.
Eng. Comput., 2016

Prediction of seismic slope stability through combination of particle swarm optimization and neural network.
Eng. Comput., 2016

Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation.
Eng. Comput., 2016

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances.
Eng. Comput., 2016

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods.
Eng. Comput., 2016

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting.
Eng. Comput., 2016


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