Danial Danial Jahed Armaghani
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Danial Danial Jahed Armaghaniengineering Degrees
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Construction Engineering
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Civil Engineering
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Applied Physics
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Engineering
Danial Danial Jahed Armaghani's Degrees
- PhD Civil Engineering University of Technology Malaysia
- Masters Civil Engineering University of Technology Malaysia
- Bachelors Civil Engineering University of Technology Malaysia
Why Is Danial Danial Jahed Armaghani Influential?
(Suggest an Edit or Addition)Danial Danial Jahed Armaghani's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization (2014) (283)
- Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition (2017) (282)
- Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN (2014) (278)
- Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks (2015) (253)
- Prediction of seismic slope stability through combination of particle swarm optimization and neural network (2015) (251)
- Feasibility of indirect determination of blast induced ground vibration based on support vector machine (2015) (210)
- Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling (2016) (197)
- Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization (2014) (176)
- Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions (2019) (165)
- Application of PSO to develop a powerful equation for prediction of flyrock due to blasting (2017) (154)
- Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate (2021) (150)
- Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles (2017) (148)
- A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength (2020) (146)
- Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm (2016) (145)
- Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate (2019) (145)
- Airblast prediction through a hybrid genetic algorithm-ANN model (2018) (141)
- Forecasting blast-induced ground vibration developing a CART model (2017) (139)
- Three hybrid intelligent models in estimating flyrock distance resulting from blasting (2018) (139)
- Application of several optimization techniques for estimating TBM advance rate in granitic rocks (2019) (138)
- Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model (2016) (136)
- Prediction of the strength and elasticity modulus of granite through an expert artificial neural network (2015) (134)
- Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil (2018) (129)
- Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials (2019) (127)
- Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting (2015) (126)
- Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns (2019) (125)
- A combination of the ICA-ANN model to predict air-overpressure resulting from blasting (2015) (122)
- An optimized ANN model based on genetic algorithm for predicting ripping production (2017) (119)
- Rock strength estimation: a PSO-based BP approach (2018) (118)
- A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network (2014) (117)
- Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques (2020) (117)
- Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models (2019) (114)
- Prediction of the uniaxial compressive strength of sandstone using various modeling techniques (2016) (113)
- Application of artificial neural network for predicting shaft and tip resistances of concrete piles (2015) (113)
- Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance (2019) (111)
- Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network (2014) (108)
- Feasibility of ICA in approximating ground vibration resulting from mine blasting (2018) (107)
- Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting (2016) (106)
- Soft computing-based techniques for concrete beams shear strength (2019) (105)
- Several non-linear models in estimating air-overpressure resulting from mine blasting (2016) (104)
- Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods (2015) (103)
- Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique (2016) (99)
- Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances (2016) (97)
- Correlation between unconfined compressive strength and indirect tensile strength of limestone rock samples (2013) (97)
- Deep neural network and whale optimization algorithm to assess flyrock induced by blasting (2021) (92)
- Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models (2020) (92)
- Compressive strength of natural hydraulic lime mortars using soft computing techniques (2019) (90)
- Mapping and holistic design of natural hydraulic lime mortars (2020) (89)
- Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation (2015) (87)
- Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization (2020) (84)
- Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength (2019) (81)
- Performance prediction of tunnel boring machine through developing a gene expression programming equation (2017) (81)
- Genetic programming and gene expression programming for flyrock assessment due to mine blasting (2016) (80)
- Application of fuzzy inference system for prediction of rock fragmentation induced by blasting (2015) (78)
- A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets (2019) (72)
- The use of new intelligent techniques in designing retaining walls (2019) (69)
- Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber (2020) (69)
- Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples (2018) (69)
- Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting (2016) (69)
- Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm (2020) (68)
- Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models (2016) (68)
- Classification and regression tree technique in estimating peak particle velocity caused by blasting (2016) (68)
- Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming (2018) (67)
- Simulation of blasting-induced air overpressure by means of artificial neural networks (2012) (65)
- Uniaxial compressive strength prediction through a new technique based on gene expression programming (2018) (65)
- Development of a precise model for prediction of blast-induced flyrock using regression tree technique (2016) (65)
- A Monte Carlo technique in safety assessment of slope under seismic condition (2017) (64)
- A Gene Expression Programming Model for Predicting Tunnel Convergence (2019) (63)
- Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system (2020) (62)
- A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil (2021) (61)
- Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique (2019) (60)
- On the Use of Neuro-Swarm System to Forecast the Pile Settlement (2020) (60)
- A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs (2020) (59)
- Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques (2016) (59)
- Development of GP and GEP models to estimate an environmental issue induced by blasting operation (2018) (58)
- A new model based on gene expression programming to estimate air flow in a single rock joint (2016) (56)
- Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network (2021) (56)
- Rock strength assessment based on regression tree technique (2016) (56)
- Intelligent design of retaining wall structures under dynamic conditions (2019) (54)
- Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks (2021) (54)
- Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples (2019) (54)
- Characteristics of weathering zones of granitic rocks in Malaysia for geotechnical engineering design (2016) (54)
- Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques (2021) (54)
- Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm (2018) (53)
- A Novel Heuristic Algorithm for the Modeling and Risk Assessment of the COVID-19 Pandemic Phenomenon (2020) (53)
- A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles (2020) (52)
- Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study (2021) (52)
- Gaussian Process Regression Technique to Estimate the Pile Bearing Capacity (2020) (51)
- Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm (2020) (50)
- Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile (2019) (50)
- Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm (2018) (49)
- A Novel Combination of Whale Optimization Algorithm and Support Vector Machine with Different Kernel Functions for Prediction of Blasting-Induced Fly-Rock in Quarry Mines (2020) (49)
- An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity (2021) (47)
- An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures (2021) (46)
- Experimental and intelligent techniques to estimate bearing capacity of cohesive soft soils reinforced with soil-cement columns (2018) (46)
- Prediction of the durability of limestone aggregates using computational techniques (2016) (46)
- Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques (2022) (45)
- Prediction of bearing capacity of thin-walled foundation: a simulation approach (2018) (45)
- Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques (2020) (45)
- Prediction of unconfined compressive strength of limestone rock samples using l-type schmidt hammer (2013) (45)
- A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling (2021) (45)
- Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques (2020) (44)
- A combination of fuzzy Delphi method and hybrid ANN-based systems to forecast ground vibration resulting from blasting (2020) (44)
- A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET (2019) (44)
- Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA (2020) (44)
- An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals (2017) (43)
- A new hybrid method for predicting ripping production in different weathering zones through in situ tests (2019) (42)
- Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS (2020) (41)
- A SVR-GWO technique to minimize flyrock distance resulting from blasting (2020) (40)
- Strength characterisation of shale using Mohr–Coulomb and Hoek–Brown criteria (2015) (40)
- Predicting the shear strength of reinforced concrete beams using Artificial Neural Networks (2019) (40)
- Estimation of ground vibration produced by blasting operations through intelligent and empirical models (2016) (38)
- Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance (2021) (36)
- Rock tensile strength prediction using empirical and soft computing approaches (2018) (36)
- Estimating the friction angle of black shale core specimens with hybrid-ANN approaches (2019) (36)
- On the metaheuristic models for the prediction of cement-metakaolin mortars compressive strength (2020) (35)
- A simulation approach to predict blasting-induced flyrock and size of thrown rocks (2013) (33)
- The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock (2020) (33)
- Evaluating the bond strength of FRP in concrete samples using machine learning methods (2020) (32)
- Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets (2020) (32)
- Genetic justification of severe COVID-19 using a rigorous algorithm (2021) (32)
- Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques (2020) (31)
- Prediction of cement-based mortars compressive strength using machine learning techniques (2021) (30)
- A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates (2021) (30)
- Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm (2022) (28)
- Deformation model of sand around short piles under pullout test (2015) (28)
- Prediction of flyrock in boulder blasting by using artificial neural network (2012) (27)
- Estimation of ultimate bearing capacity of driven piles in c-φ soil using MLP-GWO and ANFIS-GWO models: a comparative study (2020) (26)
- PREDICTION OF UNCONFINED COMPRESSIVE STRENGTH OF ROCKS: A REVIEW PAPER (2015) (26)
- Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques (2022) (26)
- Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches (2021) (26)
- Application of group method of data handling technique in assessing deformation of rock mass (2020) (26)
- Predicting the unconfined compressive strength of granite using only two non-destructive test indexes (2021) (25)
- A New Model for Determining Slope Stability Based on Seismic Motion Performance (2016) (25)
- A Novel Combination of Tree-Based Modeling and Monte Carlo Simulation for Assessing Risk Levels of Flyrock Induced by Mine Blasting (2020) (24)
- A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration (2020) (24)
- Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure (2020) (24)
- Optimal ELM–Harris Hawks Optimization and ELM–Grasshopper Optimization Models to Forecast Peak Particle Velocity Resulting from Mine Blasting (2021) (24)
- Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks (2022) (23)
- The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production (2020) (23)
- Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting in a Mine (2020) (23)
- A GMDH Predictive Model to Predict Rock Material Strength Using Three Non-destructive Tests (2020) (23)
- Computational estimation of lateral pile displacement in layered sand using experimental data (2019) (22)
- Simulation of blasting induced ground vibration by using artificial neural network (2012) (20)
- Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels (2021) (20)
- Effects of soil reinforcement on uplift resistance of buried pipeline (2015) (20)
- Rock Fragmentation Prediction through a New Hybrid Model Based on Imperial Competitive Algorithm and Neural Network (2018) (19)
- Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete (2021) (19)
- Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass (2020) (19)
- Modeling Flexural and Compressive Strengths Behaviour of Cement-Grouted Sands Modified with Water Reducer Polymer (2022) (19)
- Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments (2022) (19)
- Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential (2022) (19)
- Intelligence Prediction of Some Selected Environmental Issues of Blasting: A Review (2020) (18)
- Bearing capacity of precast thin-walled foundation in sand (2015) (18)
- A Combination of Fuzzy Delphi Method and ANN-based Models to Investigate Factors of Flyrock Induced by Mine Blasting (2021) (17)
- Stochastic assessment of hard rock pillar stability based on the geological strength index system (2021) (17)
- The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand (2021) (17)
- A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass (2021) (16)
- Design of robust control based on linear matrix inequality and a novel hybrid PSO search technique for autonomous underwater vehicle (2020) (15)
- A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index (2021) (15)
- The Effects of Rock Index Tests on Prediction of Tensile Strength of Granitic Samples: A Neuro-Fuzzy Intelligent System (2021) (15)
- Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms (2022) (15)
- An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass (2021) (15)
- Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive (2021) (15)
- Developing Predictive Models of Collapse Settlement and Coefficient of Stress Release of Sandy-Gravel Soil via Evolutionary Polynomial Regression (2022) (14)
- Utilizing regression models to find functions for determining ripping production based on laboratory tests (2017) (14)
- TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm (2021) (14)
- Potential alkali silica reactivity of various rock types in an aggregate granite quarry (2016) (13)
- A new development of ANFIS-Based Henry gas solubility optimization technique for prediction of soil shear strength (2021) (13)
- A Combination of Expert-Based System and Advanced Decision-Tree Algorithms to Predict Air-Overpressure Resulting from Quarry Blasting (2020) (13)
- Neuro-swarm and Neuro-imperialism Techniques to Investigate the Compressive Strength of Concrete Constructed by Freshwater and Magnetic Salty Water (2021) (12)
- Indirect measure of shear strength parameters of fiber-reinforced sandy soil using laboratory tests and intelligent systems (2020) (12)
- The effect of geological structure and powder factor in flyrock accident, Masai, Johor, Malaysia (2013) (12)
- Hybridization of Parametric and Non-parametric Techniques to Predict Air Over-pressure Induced by Quarry Blasting (2020) (12)
- Optimized Support Vector Machines Combined with Evolutionary Random Forest for Prediction of Back-Break Caused by Blasting Operation (2021) (11)
- Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models (2021) (11)
- Novel Ensemble Tree Solution for Rockburst Prediction Using Deep Forest (2022) (11)
- Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network (2021) (11)
- Uplift Resistance of Buried Pipelines Enhanced by Geogrid (2014) (11)
- Factors Influencing Pile Friction Bearing Capacity: Proposing a Novel Procedure Based on Gradient Boosted Tree Technique (2021) (10)
- Prediction of compressive strength of concrete modified with fly ash: Applications of neuro-swarm and neuro-imperialism models (2021) (10)
- Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach (2023) (9)
- New method for estimation of soil shear strength parameters using results of piezocone (2016) (9)
- Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models (2022) (9)
- Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete (2022) (9)
- Investigating the effect of jointed environment on the cracked concrete arch dam in 3D conditions using FEM (2020) (8)
- Reliability and Prediction of Embedment Depth of Sheet pile Walls Using Hybrid ANN with Optimization Techniques (2022) (8)
- Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance (2019) (8)
- Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings (2021) (8)
- Proposing several hybrid SSA—machine learning techniques for estimating rock cuttability by conical pick with relieved cutting modes (2022) (7)
- Effect of geological structure and blasting practice in fly rock accident at Johor, Malaysia (2016) (7)
- A Novel Combination of Gradient Boosted Tree and Optimized ANN Models for Forecasting Ground Vibration Due to Quarry Blasting (2021) (7)
- Review on Dynamic Behaviour of Earth Dam and Embankment During an Earthquake (2021) (7)
- Understanding and Predicting the Usage of Shared Electric Scooter Services on University Campuses (2022) (5)
- Machine Learning Classifiers for Modeling Soil Characteristics by Geophysics Investigations: A Comparative Study (2020) (5)
- A Comparative Study of Artificial Intelligence Techniques to Estimate TBM Performance in Various Weathering Zones (2021) (5)
- Evaluation of geotextiles on embankment displacement under seismic load (2013) (5)
- A Monte Carlo technique in safety assessment of slope under seismic condition (2017) (5)
- Prediction of Bearing Capacity of the Square Concrete-Filled Steel Tube Columns: An Application of Metaheuristic-Based Neural Network Models (2022) (5)
- Forecast of Airblast Vibrations Induced by Blasting Using Support Vector Regression Optimized by the Grasshopper Optimization (SVR-GO) Technique (2022) (5)
- Influence of sodium aluminate on calcium leaching of shotcrete in tunnels (2021) (4)
- A parametric study of ground vibration induced by quarry blasting: an application of group method of data handling (2022) (4)
- River Sand Mining Vis a Vis Manufactured Sand for Sustainability (2020) (4)
- A Short Overview of Soft Computing Techniques in Tunnel Construction (2022) (4)
- Ensemble machine learning models for prediction of flyrock due to quarry blasting (2022) (4)
- The Influence of Bituminous Coating on Uplift Resistance of Short Pile Foundations in Sand (2017) (4)
- The Efficiency of Hybrid Intelligent Models in Predicting Fiber-Reinforced Polymer Concrete Interfacial-Bond Strength (2022) (4)
- Shaft resistance of bored piles socketed in Malaysian granite (2017) (4)
- A Novel Heuristic Global Algorithm to Predict the COVID-19 Pandemic Trend (2020) (3)
- GEOLOGICAL STUDY AND MINING PLAN IMPORTANCE FOR MITIGATING ALKALI SILICA REACTION IN AGGREGATE QUARRY OPERATION (2016) (3)
- Empirical, Statistical, and Intelligent Techniques for TBM Performance Prediction (2021) (3)
- An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity (2021) (3)
- Deformation model of deep soil mixing using finite element method (2015) (3)
- Applications of Artificial Intelligence in Tunnelling and Underground Space Technology (2021) (3)
- Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm (2022) (2)
- Applications of AI and ML Techniques to Predict Backbreak and Flyrock Distance Resulting from Blasting (2021) (2)
- Three Steps towards Better Forecasting for Streamflow Deep Learning (2022) (2)
- Estimation of ultimate bearing capacity of driven piles in c-φ soil using MLP-GWO and ANFIS-GWO models: a comparative study (2020) (2)
- Iterative Finite Element Analysis of Concrete-Filled Steel Tube Columns Subjected to Axial Compression (2022) (2)
- RETRACTED ARTICLE: Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models (2016) (2)
- Tunnel boring machine performance prediction in tropically weathered granite through empirical and computational methods (2015) (2)
- Hybrid Wavelet Scattering Network-Based Model for Failure Identification of Reinforced Concrete Members (2022) (2)
- Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm (2016) (2)
- Mineral Texture Identification Using Local Binary Patterns Equipped with a Classification and Recognition Updating System (CARUS) (2022) (2)
- Evaluation of structural safety reduction due to water penetration into a major structural crack in a large concrete project (2020) (2)
- A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material (2022) (2)
- The smooth transition GARCH model for simulation of highly nonstationary earthquake ground motions (2020) (2)
- Evaluation of Applicability and Accuracy of Bus Travel Time Prediction in High and Low Frequency Bus Routes Using Tree-Based ML Techniques (2023) (1)
- A review of prediction of blast performance using computational techniques (2018) (1)
- An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blasting (2021) (1)
- Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem (2021) (1)
- Gaussian Process Regression Technique to Estimate the Pile Bearing Capacity (2020) (1)
- Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure (2020) (1)
- Natural Resources Research: Acknowledgement of Reviewers in 2018 (2019) (1)
- Rock Mass Classification for the Assessment of Blastability in Tropically Weathered Limestones (2020) (1)
- Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices (2022) (1)
- Investigation of Uplift Capacity of Deep Foundation in Various Geometry Conditions (2019) (1)
- A study on environmental issues of blasting using advanced support vector machine algorithms (2022) (1)
- Prediction and optimization of flyrock and oversize boulder induced by mine blasting using artificial intelligence techniques (2022) (1)
- An Overview of Field Classifications to Evaluate Tunnel Boring Machine Performance (2021) (1)
- Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting (2023) (1)
- Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques (2021) (1)
- Stability analysis of a railway trench by using stereographical projection (2013) (1)
- A Simulation Approach to Predict Uniaxial Compressive Strength of Shale and Sandstone Samples Using Artificial Neural Network (2013) (1)
- Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass (2020) (1)
- Chart-Based Granular Slope Stability Assessment Using the Modified Mohr–Coulomb Criterion (2022) (1)
- Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting (2021) (1)
- Prediction and Optimization of Pile Bearing Capacity Considering Effects of Time (2022) (1)
- Classification and regression tree technique in estimating peak particle velocity caused by blasting (2016) (0)
- Applications of Two Neuro-Based Metaheuristic Techniques in Evaluating Ground Vibration Resulting from Tunnel Blasting (2022) (0)
- Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm (2017) (0)
- Physical modelling of bending moments in single piles under combined loads in layered soil (2021) (0)
- Prediction of bearing capacity of thin-walled foundation: a simulation approach (2017) (0)
- Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples (2017) (0)
- Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques (2021) (0)
- Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns (2019) (0)
- Elastic modulus estimation of weak rock samples using random forest technique (2023) (0)
- Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques (2023) (0)
- Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential (2022) (0)
- Rock strength estimation: a PSO-based BP approach (2016) (0)
- A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration (2020) (0)
- A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength (2020) (0)
- Response to Discussion on “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Georg H. Erharter, Thomas Marcher (2023) (0)
- Environmental Issues of Blasting (2021) (0)
- Jurnal Teknologi Deformation Model of Deep Soil Mixing Using Finite Element Method (2015) (0)
- Intelligent Based Decision-Making Strategy to Predict Fire Intensity in Subsurface Engineering Environments (2023) (0)
- Forecasting blast-induced ground vibration developing a CART model (2016) (0)
- The use of new intelligent techniques in designing retaining walls (2019) (0)
- A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index (2021) (0)
- Pile bearing capacity estimation using GEP, RBFNN and MVNR techniques (2020) (0)
- Risk Management and Reliability Analysis in Civil Engineering (2018) (0)
- Feasibility of ICA in approximating ground vibration resulting from mine blasting (2016) (0)
- Effect of SVM Kernel Functions on Bearing Capacity Assessment of Deep Foundations (2023) (0)
- A novel ensemble machine learning model to predict mine blasting–induced rock fragmentation (2023) (0)
- An optimized ANN model based on genetic algorithm for predicting ripping production (2016) (0)
- Three hybrid intelligent models in estimating flyrock distance resulting from blasting (2018) (0)
- Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments (2022) (0)
- A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET (2019) (0)
- RETRACTED ARTICLE: Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models (2016) (0)
- Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models (2016) (0)
- A comparative study of different artificial intelligence techniques in predicting blast-induced air over-pressure (2020) (0)
- Meta-Heuristic Algorithms in Civil Engineering (2020) (0)
- Correction to: A study on environmental issues of blasting using advanced support vector machine algorithms (2022) (0)
- The smooth transition GARCH model for simulation of highly nonstationary earthquake ground motions (2020) (0)
- Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming (2016) (0)
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