Danial Jahed Armaghani
Orcid: 0000-0001-8171-6403
According to our database1,
Danial Jahed Armaghani
authored at least 76 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance.
Expert Syst. Appl., March, 2024
2023
Hybridized random forest with population-based optimization for predicting shear properties of rock fractures.
J. Comput. Sci., September, 2023
2022
A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index.
Neural Comput. Appl., 2022
A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material.
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
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance.
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
A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates.
Eng. Comput., 2022
Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms.
Eng. Comput., 2022
Load carrying capacity assessment of thin-walled foundations: an ANFIS-PNN model optimized by genetic algorithm.
Eng. Comput., 2022
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential.
Artif. Intell. Rev., 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
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
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
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
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
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming.
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
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
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
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
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
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