Keyword Index

A

  • AA6061 Process Parameter Optimization of 6061AA Friction Stir Welded Joints Using Supervised Machine Learning Regression-Based Algorithms [Volume 6, Issue 1, 2022, Pages 127-137]
  • AASHTO Design Guide An Explicit Formulation for Estimation of Structural Number (SN) of Flexible Pavements in 1993 AASHTO Design Guide using Response Surface Methodology (RSM) [Volume 6, Issue 2, 2022, Pages 35-50]
  • Active seismic zone region Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Adaboost Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization [Volume 5, Issue 4, 2021, Pages 57-73]
  • Adaptive control Adaptive Neuro-Fuzzy and Simple Adaptive Control Methods for Attenuating the Seismic Responses of Coupled Buildings with Semi-Active Devices: Comparative Study [Volume 3, Issue 3, 2019, Pages 1-21]
  • Adhesion forces Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Afara Modeling of Compressive Strength Characteristics of Structural-sized Afara (Terminalia superba) and Babo (Isoberlinia doka) Timber Columns Using Constant Failure Rate (CFR) Model of Reliability [Volume 2, Issue 2, 2018, Pages 102-115]
  • AHP Site Selection for Limestone Paper Plant Using AHP-Monte Carlo Approach [Volume 3, Issue 1, 2019, Pages 36-46]
  • Alongshore sediment transports rate Application of Adaptive Neuro-Fuzzy Inference System to Estimate Alongshore Sediment Transport Rate (A Real Case Study: Southern Shorelines of Caspian Sea) [Volume 2, Issue 4, 2018, Pages 72-85]
  • Aluminum Flexural Analysis of Deep Aluminum Beam [Volume 2, Issue 1, 2018, Pages 71-84]
  • An artificial neural network Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 47-62]
  • ANFIS Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • ANFIS Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service [Volume 2, Issue 1, 2018, Pages 18-35]
  • Anisotropy Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics [Volume 2, Issue 4, 2018, Pages 62-71]
  • ANN Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service [Volume 2, Issue 1, 2018, Pages 18-35]
  • ANN Application of ANN in Estimating Discharge Coefficient of Circular Piano Key Spillways [Volume 2, Issue 3, 2018, Pages 39-49]
  • ANN Assessing Compressive Strength of Concrete with Extreme Learning Machine [Volume 5, Issue 2, 2021, Pages 68-85]
  • ANN Modelling of Daily Suspended Sediment Concentration Using FFBPNN and SVM Algorithms [Volume 5, Issue 2, 2021, Pages 120-134]
  • ANN model Modelling Slump of Concrete Containing Natural Coarse Aggregate from Bida Environs Using Artificial Neural Network [Volume 5, Issue 2, 2021, Pages 19-38]
  • ANSYS 15 Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Approximate solutions An Interior-Constraint BEM for Regularization of Problems with Improper Boundary Conditions [Volume 2, Issue 2, 2018, Pages 1-18]
  • ArcGIS Hydrologic Performance of Drainage Network Under Different Climatic and Land-Use Conditions, A Case Study of Chattogram [Volume 4, Issue 4, 2020, Pages 1-23]
  • ARIMA Assessing Compressive Strength of Concrete with Extreme Learning Machine [Volume 5, Issue 2, 2021, Pages 68-85]
  • ARIMA Assessment of Statistical Models for Rainfall Forecasting Using Machine Learning Technique [Volume 6, Issue 2, 2022, Pages 51-67]
  • Artificial Bee Colony-Based Preliminary Wall Design Prediction of Concrete and Steel Materials Contained by Cantilever Retaining Wall by Modeling the Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 47-61]
  • Artificial Neural Network Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Artificial Neural Network The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • Artificial Neural Network Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete [Volume 2, Issue 1, 2018, Pages 62-70]
  • Artificial Neural Network Connectivity and Flowrate Estimation of Discrete Fracture Network Using Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 13-26]
  • Artificial Neural Network Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 27-38]
  • Artificial Neural Network Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 34-46]
  • Artificial Neural Network Estimation of Building Construction Cost Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 91-107]
  • Artificial Neural Network Application of Random Forest Regression in the Prediction of Ultimate Bearing Capacity of Strip Footing Resting on Dense Sand Overlying Loose Sand Deposit [Volume 3, Issue 4, 2019, Pages 28-40]
  • Artificial Neural Network Prediction of Flexural Strength of Concrete Produced by Using Pozzolanic Materials and Partly Replacing NFA by MS [Volume 3, Issue 2, 2019, Pages 65-75]
  • Artificial Neural Network Performance Evaluation of Machine Learning Models in Predicting Dry and Wet Climatic Phases [Volume 4, Issue 1, 2020, Pages 29-48]
  • Artificial Neural Network Effect of MDF-Cover for Water Reservoir Evaporation Reduction, Experimental, and Soft Computing Approaches [Volume 4, Issue 1, 2020, Pages 98-110]
  • Artificial Neural Network A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin [Volume 4, Issue 2, 2020, Pages 1-12]
  • Artificial Neural Network Neural Models for Unconfined Compressive Strength of Kaolin Clay Mixed with Pond Ash, Rice Husk Ash and Cement [Volume 4, Issue 2, 2020, Pages 85-102]
  • Artificial Neural Network Using the Artificial Neural Network to Predict the Axial Strength and Strain of Concrete-Filled Plastic Tube [Volume 4, Issue 2, 2020, Pages 63-84]
  • Artificial Neural Network Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model [Volume 4, Issue 4, 2020, Pages 36-46]
  • Artificial Neural Network Application and Analysis of Machine Learning Algorithms for Design of Concrete Mix with Plasticizer and without Plasticizer [Volume 5, Issue 1, 2021, Pages 19-37]
  • Artificial Neural Network Simulation of Pan Evaporation Rate by ANN Artificial Intelligence Model in Damghan Region [Volume 5, Issue 3, 2021, Pages 75-87]
  • Artificial Neural Network Prediction of Compression Index of Marine clay Using Artificial Neural Network and Multilinear Regression Models [Volume 5, Issue 4, 2021, Pages 114-124]
  • Artificial Neural Network Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP [Volume 6, Issue 1, 2022, Pages 66-87]
  • Artificial Neural Network Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques [Volume 6, Issue 1, 2022, Pages 110-126]
  • Artificial Neural Network Automatic Crack Detection Using Convolutional Neural Network [Volume 6, Issue 3, 2022, Pages 1-17]
  • Artificial neural network (ANN) Compressive Strength Estimation of Mesh Embedded Masonry Prism Using Empirical and Neural Network Models [Volume 4, Issue 4, 2020, Pages 24-35]
  • Artificial Neural Networks Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • Artificial Neural Networks Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Artificial Neural Networks Artificial Neural Networks Prediction of Compaction Characteristics of Black Cotton Soil Stabilized with Cement Kiln Dust [Volume 2, Issue 3, 2018, Pages 50-71]
  • Artificial Neural Networks Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning Models [Volume 4, Issue 1, 2020, Pages 72-97]
  • Artificial Neural Networks Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]
  • Artificial Neural Networks Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network [Volume 4, Issue 4, 2020, Pages 61-78]
  • Artificial Neural Networks Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • Artificial Neural Networks Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches [Volume 5, Issue 4, 2021, Pages 41-56]
  • Artificial Neural Networks Hourly Flood Forecasting Using Hybrid Wavelet-SVM [Volume 6, Issue 2, 2022, Pages 1-20]
  • Asphalt mixtures Neural Network Based Model to Estimate Dynamic Modulus E* for Mixtures in Costa Rica [Volume 3, Issue 2, 2019, Pages 1-15]
  • Atomic force microscopy Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Augmented reality GIS 3D and Science of Augmented Reality: Modeling a 3D Geospatial Environment [Volume 3, Issue 4, 2019, Pages 78-87]

B

  • Babo Modeling of Compressive Strength Characteristics of Structural-sized Afara (Terminalia superba) and Babo (Isoberlinia doka) Timber Columns Using Constant Failure Rate (CFR) Model of Reliability [Volume 2, Issue 2, 2018, Pages 102-115]
  • Backpropagation Forecasting the Shear Strength of Binary Blended Concrete Containing Hydrated Lime Using Artificial Intelligence [Volume 5, Issue 2, 2021, Pages 135-151]
  • Back propagation neural network Assessing Compressive Strength of Concrete with Extreme Learning Machine [Volume 5, Issue 2, 2021, Pages 68-85]
  • Backpropagation neural network Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Bank erosion A Study of Bank Line Shifting of the Selected Reach of Jamuna River Using Multi-Variant Regression Model [Volume 6, Issue 2, 2022, Pages 21-34]
  • Bathymetry Machine Learning Method for Predicting the Depth of Shallow Lakes Using Multi-Band Remote Sensing Images [Volume 3, Issue 2, 2019, Pages 54-64]
  • Bearing Capacity Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand [Volume 5, Issue 4, 2021, Pages 74-89]
  • Bed load No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Bida Natural Gravel Modelling Slump of Concrete Containing Natural Coarse Aggregate from Bida Environs Using Artificial Neural Network [Volume 5, Issue 2, 2021, Pages 19-38]
  • Big Data Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Bi-objective Optimization An Innovative Optimized Design for Laminated Composites in terms of a Proposed Bi-Objective Technique [Volume 4, Issue 1, 2020, Pages 1-28]
  • Black cotton soil Artificial Neural Networks Prediction of Compaction Characteristics of Black Cotton Soil Stabilized with Cement Kiln Dust [Volume 2, Issue 3, 2018, Pages 50-71]
  • Boundary element method An Interior-Constraint BEM for Regularization of Problems with Improper Boundary Conditions [Volume 2, Issue 2, 2018, Pages 1-18]
  • Bushehr Port Forecasting of Wind-Wave Height by Using Adaptive Neuro-Fuzzy Inference System and Decision Tree [Volume 3, Issue 3, 2019, Pages 22-36]

C

  • C4.5 Algorithm Use of ANN, C4.5 and Random Forest Algorithm in the Evaluation of Seismic Soil Liquefaction [Volume 6, Issue 2, 2022, Pages 92-106]
  • Calcium carbide waste Optimizing the Mechanical Properties of Pervious Concrete Containing Calcium Carbide and Rice Husk Ash Using Response Surface Methodology [Volume 4, Issue 3, 2020, Pages 106-123]
  • Caspian Sea Application of Adaptive Neuro-Fuzzy Inference System to Estimate Alongshore Sediment Transport Rate (A Real Case Study: Southern Shorelines of Caspian Sea) [Volume 2, Issue 4, 2018, Pages 72-85]
  • Cement kiln dust Artificial Neural Networks Prediction of Compaction Characteristics of Black Cotton Soil Stabilized with Cement Kiln Dust [Volume 2, Issue 3, 2018, Pages 50-71]
  • Cement pastes Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes [Volume 5, Issue 4, 2021, Pages 1-20]
  • CFRP Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network [Volume 4, Issue 4, 2020, Pages 61-78]
  • CGA Algorithm Optimal Operation of Dam Reservoir Using Gray Wolf Optimizer Algorithm (Case Study: Urmia Shaharchay Dam in Iran) [Volume 3, Issue 3, 2019, Pages 47-61]
  • Chemical mapping Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes [Volume 5, Issue 4, 2021, Pages 1-20]
  • Circular Piano Key Spillway Application of ANN in Estimating Discharge Coefficient of Circular Piano Key Spillways [Volume 2, Issue 3, 2018, Pages 39-49]
  • Circular RC Column Life Cycle Cost GA Optimization of Repaired Reinforced Concrete Structures Located in a Marine Environment [Volume 3, Issue 4, 2019, Pages 41-50]
  • Claim Management Identifying and Prioritizing Arising Claim's Factors by the Combined Approach of DEMATEL and ANP Method (Case Study: Urban Development and Civil Organization of Shiraz Municipality Projects) [Volume 6, Issue 1, 2022, Pages 46-65]
  • Claim types, Project management Identifying and Prioritizing Arising Claim's Factors by the Combined Approach of DEMATEL and ANP Method (Case Study: Urban Development and Civil Organization of Shiraz Municipality Projects) [Volume 6, Issue 1, 2022, Pages 46-65]
  • Classification Classification of Seismic Vulnerability Based on Machine Learning Techniques for RC Frames [Volume 4, Issue 2, 2020, Pages 13-21]
  • Classification Algorithms A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • Climate Modeling of Reference Crop Evapotranspiration in Wet and Dry Climates Using Data-Mining Methods and Empirical Equations [Volume 6, Issue 1, 2022, Pages 1-28]
  • Clus Multiple Target Machine Learning Prediction of Capacity Curves of Reinforced Concrete Shear Walls [Volume 5, Issue 4, 2021, Pages 90-113]
  • Clustering Evaluation of Dimension Stone According to Resistance to Freeze–Thaw Cycling to Use in Cold Regions [Volume 6, Issue 1, 2022, Pages 88-109]
  • CN Hydrologic Performance of Drainage Network Under Different Climatic and Land-Use Conditions, A Case Study of Chattogram [Volume 4, Issue 4, 2020, Pages 1-23]
  • Cold drawing Process Parameter Optimization for Minimizing Springback in Cold Drawing Process of Seamless Tubes Using Advanced Optimization Algorithms [Volume 2, Issue 3, 2018, Pages 72-90]
  • Composite structures Fuzzy-Based Approach to Predict the Performance of Shear Connectors in Composite Structures [Volume 3, Issue 4, 2019, Pages 1-11]
  • Compression Index Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • Compression Index Prediction of Compression Index of Marine clay Using Artificial Neural Network and Multilinear Regression Models [Volume 5, Issue 4, 2021, Pages 114-124]
  • Compressive strength Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Compressive strength Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete [Volume 2, Issue 1, 2018, Pages 62-70]
  • Compressive strength Modeling of Compressive Strength Characteristics of Structural-sized Afara (Terminalia superba) and Babo (Isoberlinia doka) Timber Columns Using Constant Failure Rate (CFR) Model of Reliability [Volume 2, Issue 2, 2018, Pages 102-115]
  • Compressive strength Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 27-38]
  • Compressive strength A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin [Volume 4, Issue 2, 2020, Pages 1-12]
  • Compressive strength Using the Artificial Neural Network to Predict the Axial Strength and Strain of Concrete-Filled Plastic Tube [Volume 4, Issue 2, 2020, Pages 63-84]
  • Compressive strength Optimizing the Mechanical Properties of Pervious Concrete Containing Calcium Carbide and Rice Husk Ash Using Response Surface Methodology [Volume 4, Issue 3, 2020, Pages 106-123]
  • Compressive strength Compressive Strength Estimation of Mesh Embedded Masonry Prism Using Empirical and Neural Network Models [Volume 4, Issue 4, 2020, Pages 24-35]
  • Compressive strength Parametric Assessment of Concrete Constituent Materials Using Machine Learning Techniques [Volume 6, Issue 3, 2022, Pages 39-62]
  • Compressive strength of cement Assessing Compressive Strength of Concrete with Extreme Learning Machine [Volume 5, Issue 2, 2021, Pages 68-85]
  • Compromise solution Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater [Volume 2, Issue 4, 2018, Pages 1-22]
  • Computational algorithm Fuzzy Vibration Suppression of a Smart Elastic Plate Using Graphical Computing Environment [Volume 2, Issue 1, 2018, Pages 1-17]
  • Computer Programming Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio [Volume 5, Issue 3, 2021, Pages 88-100]
  • Concrete Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Concrete Modelling of Concrete Compressive Strength Admixed with GGBFS Using Gene Expression Programming [Volume 3, Issue 2, 2019, Pages 43-53]
  • Concrete Mesoscopic Generation of Random Concrete Structure Using Equivalent Space Method [Volume 3, Issue 3, 2019, Pages 82-94]
  • Concrete Fuzzy-Based Approach to Predict the Performance of Shear Connectors in Composite Structures [Volume 3, Issue 4, 2019, Pages 1-11]
  • Concrete Forecasting the Shear Strength of Binary Blended Concrete Containing Hydrated Lime Using Artificial Intelligence [Volume 5, Issue 2, 2021, Pages 135-151]
  • Concrete columns Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network [Volume 4, Issue 4, 2020, Pages 61-78]
  • Concrete damage plasticity Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Finite Element Method [Volume 2, Issue 1, 2018, Pages 36-61]
  • Concrete evaporation rate Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • Concrete Foundation Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms [Volume 3, Issue 3, 2019, Pages 62-81]
  • Concrete Gravity Dams Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • Concrete materials management Parametric Assessment of Concrete Constituent Materials Using Machine Learning Techniques [Volume 6, Issue 3, 2022, Pages 39-62]
  • Concrete volume and steel area in wall design Prediction of Concrete and Steel Materials Contained by Cantilever Retaining Wall by Modeling the Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 47-61]
  • Cone penetration test Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement [Volume 2, Issue 1, 2018, Pages 85-100]
  • Confined Concrete Using the Artificial Neural Network to Predict the Axial Strength and Strain of Concrete-Filled Plastic Tube [Volume 4, Issue 2, 2020, Pages 63-84]
  • Confinement Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network [Volume 4, Issue 4, 2020, Pages 61-78]
  • Consolidation settlement Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • Construction claims Identifying and Prioritizing Arising Claim's Factors by the Combined Approach of DEMATEL and ANP Method (Case Study: Urban Development and Civil Organization of Shiraz Municipality Projects) [Volume 6, Issue 1, 2022, Pages 46-65]
  • Construction management Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Construction management Evolutionary Algorithm Performance Evaluation in Project Time-Cost Optimization [Volume 3, Issue 2, 2019, Pages 16-29]
  • Contourlet Transform Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [Volume 5, Issue 2, 2021, Pages 39-67]
  • Cost and weight objective functions Optimizing Reinforced Concrete Cantilever Retaining Walls Using Gases Brownian Motion Algorithm (GBMOA) [Volume 5, Issue 1, 2021, Pages 1-18]
  • Cost prediction Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Network and Support Vector Machine Models [Volume 4, Issue 2, 2020, Pages 103-112]
  • Cost Predictions Estimation of Building Construction Cost Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 91-107]
  • Crack and non-crack images Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • Crack detection Performance of Image-Based Crack Detection Systems in Concrete Structures [Volume 4, Issue 1, 2020, Pages 127-139]
  • Crack prediction Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • Curling Stresses Comparative Analysis of Rigid Pavement Using Westergaard Method and Computer Program [Volume 2, Issue 2, 2018, Pages 19-30]
  • Curve-fitting Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • Customer Satisfaction Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]

D

  • Damage Assessment Performance of Image-Based Crack Detection Systems in Concrete Structures [Volume 4, Issue 1, 2020, Pages 127-139]
  • Damage localization Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [Volume 5, Issue 2, 2021, Pages 39-67]
  • Damage Location Damage Localization of RC Beams via Wavelet Analysis of Noise Contaminated Modal Curvatures [Volume 5, Issue 3, 2021, Pages 101-133]
  • Damage model Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Damage severity assessment Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [Volume 5, Issue 2, 2021, Pages 39-67]
  • Damage State Classification of Seismic Vulnerability Based on Machine Learning Techniques for RC Frames [Volume 4, Issue 2, 2020, Pages 13-21]
  • Damghan Simulation of Pan Evaporation Rate by ANN Artificial Intelligence Model in Damghan Region [Volume 5, Issue 3, 2021, Pages 75-87]
  • Data mining A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • Data-mining methods Modeling of Reference Crop Evapotranspiration in Wet and Dry Climates Using Data-Mining Methods and Empirical Equations [Volume 6, Issue 1, 2022, Pages 1-28]
  • Decision tree regression Application and Analysis of Machine Learning Algorithms for Design of Concrete Mix with Plasticizer and without Plasticizer [Volume 5, Issue 1, 2021, Pages 19-37]
  • Deep beam Flexural Analysis of Deep Aluminum Beam [Volume 2, Issue 1, 2018, Pages 71-84]
  • Deep beam Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Finite Element Method [Volume 2, Issue 1, 2018, Pages 36-61]
  • Deep Learning Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Deep Learning Automatic Crack Detection Using Convolutional Neural Network [Volume 6, Issue 3, 2022, Pages 1-17]
  • Deep Neural Network Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio [Volume 5, Issue 3, 2021, Pages 88-100]
  • Deflections Flexural Analysis of Deep Aluminum Beam [Volume 2, Issue 1, 2018, Pages 71-84]
  • Deformations Flexural Analysis of Deep Aluminum Beam [Volume 2, Issue 1, 2018, Pages 71-84]
  • Denoising Hourly Flood Forecasting Using Hybrid Wavelet-SVM [Volume 6, Issue 2, 2022, Pages 1-20]
  • Design Builder Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches [Volume 5, Issue 4, 2021, Pages 41-56]
  • Diamond wire saw Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Differential evolution The Need for Recurrent Learning Neural Network and Combine Pareto Differential Algorithm for Multi-Objective Optimization of Real Time Reservoir Operations [Volume 4, Issue 3, 2020, Pages 52-64]
  • Differential evolution Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization [Volume 5, Issue 4, 2021, Pages 57-73]
  • Different regular shaped skirted footings Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 34-46]
  • Digital Image Correlation Performance of Image-Based Crack Detection Systems in Concrete Structures [Volume 4, Issue 1, 2020, Pages 127-139]
  • Dimensional stone Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques [Volume 2, Issue 1, 2018, Pages 101-116]
  • Dimension stones Evaluation of Dimension Stone According to Resistance to Freeze–Thaw Cycling to Use in Cold Regions [Volume 6, Issue 1, 2022, Pages 88-109]
  • Direct rating A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]
  • Discharge coefficient Application of ANN in Estimating Discharge Coefficient of Circular Piano Key Spillways [Volume 2, Issue 3, 2018, Pages 39-49]
  • Discreet Design Variables A Modified Genetic Algorithm in C++ for Optimization of Steel Truss Structures [Volume 5, Issue 1, 2021, Pages 95-108]
  • Discrete fracture network (DFN) Connectivity and Flowrate Estimation of Discrete Fracture Network Using Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 13-26]
  • Discrete Wavelet transform Optimum Design of Structures for Seismic Loading by Simulated Annealing Using Wavelet Transform [Volume 2, Issue 4, 2018, Pages 23-33]
  • Dolaei Tunnel Selecting the Suitable Tunnel Supporting System Using an Integrated Decision Support System, (Case Study: Dolaei Tunnel of Touyserkan, Iran) [Volume 3, Issue 4, 2019, Pages 51-66]
  • Driver assistant systems A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • Durability A Comparative Review of Image Processing Based Crack Detection Techniques on Civil Engineering Structures [Volume 5, Issue 3, 2021, Pages 58-74]
  • Dynamic analysis Optimum Design of Structures for Seismic Loading by Simulated Annealing Using Wavelet Transform [Volume 2, Issue 4, 2018, Pages 23-33]
  • Dynamic analysis Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms [Volume 3, Issue 3, 2019, Pages 62-81]
  • Dynamic Networks Providing SSPCO Algorithm to Construct Static Protein-Protein Interaction (PPI) Networks [Volume 6, Issue 2, 2022, Pages 68-91]

E

  • Early stopping Estimation of Building Construction Cost Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 91-107]
  • Earthquake Ground Motion Correlation of Ground Motion Duration with Its Intensity Metrics: A Simulation Based Approach [Volume 4, Issue 3, 2020, Pages 17-39]
  • Earthquake Magnitude Predicting the Earthquake Magnitude along Zagros Fault Using Time Series and Ensemble Model [Volume 3, Issue 4, 2019, Pages 67-77]
  • Eccentrically inclined load Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand [Volume 3, Issue 2, 2019, Pages 30-42]
  • Electre Selecting the Suitable Tunnel Supporting System Using an Integrated Decision Support System, (Case Study: Dolaei Tunnel of Touyserkan, Iran) [Volume 3, Issue 4, 2019, Pages 51-66]
  • Electroless A Grey-Fuzzy Based Approach for the Optimization of Corrosion Resistance of Rebars Coated with Ternary Electroless Nickel Coatings [Volume 6, Issue 2, 2022, Pages 107-127]
  • Elevated temperatures Predicting Post-Fire Behavior of Green Geopolymer Mortar Containing Recycled Concrete Aggregate via GEP Approach [Volume 4, Issue 2, 2020, Pages 22-45]
  • ELM Assessing Compressive Strength of Concrete with Extreme Learning Machine [Volume 5, Issue 2, 2021, Pages 68-85]
  • Energy Forecasting of Wind-Wave Height by Using Adaptive Neuro-Fuzzy Inference System and Decision Tree [Volume 3, Issue 3, 2019, Pages 22-36]
  • Engineering Problems Reliability Analysis of Structures Using Modified FA-PSO Algorithm [Volume 2, Issue 2, 2018, Pages 89-101]
  • Equivalent space method Mesoscopic Generation of Random Concrete Structure Using Equivalent Space Method [Volume 3, Issue 3, 2019, Pages 82-94]
  • Equivalent static method Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Error metrics Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand [Volume 5, Issue 4, 2021, Pages 74-89]
  • Escort patterns Escort Patterns in Dual-Worker Households with Students [Volume 5, Issue 1, 2021, Pages 62-79]
  • E-shaped footing Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand [Volume 5, Issue 4, 2021, Pages 74-89]
  • Estimation Application of Whale Optimization Algorithm Combined with Adaptive Neuro-Fuzzy Inference System for Estimating Suspended Sediment Load [Volume 5, Issue 3, 2021, Pages 1-14]
  • ETS Assessment of Statistical Models for Rainfall Forecasting Using Machine Learning Technique [Volume 6, Issue 2, 2022, Pages 51-67]
  • Evaporation Prediction Simulation of Pan Evaporation Rate by ANN Artificial Intelligence Model in Damghan Region [Volume 5, Issue 3, 2021, Pages 75-87]
  • Evolutionary Algorithm Evolutionary Algorithm Performance Evaluation in Project Time-Cost Optimization [Volume 3, Issue 2, 2019, Pages 16-29]
  • Evolutionary Algorithm Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization [Volume 5, Issue 4, 2021, Pages 57-73]
  • Explicit Equation An Explicit Formulation for Estimation of Structural Number (SN) of Flexible Pavements in 1993 AASHTO Design Guide using Response Surface Methodology (RSM) [Volume 6, Issue 2, 2022, Pages 35-50]
  • Extreme Learning Machine (ELM) Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters [Volume 5, Issue 3, 2021, Pages 32-57]

F

  • FAHP Identifying and Ranking of Mechanized Tunneling Project's Risks by Using A Fuzzy Multi-Criteria Decision Making Technique [Volume 6, Issue 1, 2022, Pages 29-45]
  • FDAHP Selecting the Suitable Tunnel Supporting System Using an Integrated Decision Support System, (Case Study: Dolaei Tunnel of Touyserkan, Iran) [Volume 3, Issue 4, 2019, Pages 51-66]
  • FDAHP Assessment of the Slope Stability Under Geological Conditions Using FDAHP-TOPSIS (A Case Study for Sungun Open Pit Mine) [Volume 5, Issue 4, 2021, Pages 21-40]
  • Feature selection Application and Analysis of Machine Learning Algorithms for Design of Concrete Mix with Plasticizer and without Plasticizer [Volume 5, Issue 1, 2021, Pages 19-37]
  • Feed forward backpropagation algorithm Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 34-46]
  • Feed forward backpropagation algorithm Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 47-62]
  • FEM Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Finite Element Method [Volume 2, Issue 1, 2018, Pages 36-61]
  • Ferrocement Members Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]
  • FFBPNN Modelling of Daily Suspended Sediment Concentration Using FFBPNN and SVM Algorithms [Volume 5, Issue 2, 2021, Pages 120-134]
  • Finite Element Dual Target Optimization of Two-Dimensional Truss Using Cost Efficiency and Structural Reliability Sufficiency [Volume 4, Issue 4, 2020, Pages 98-111]
  • Finite Element (FE) Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Finite element method Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms [Volume 3, Issue 3, 2019, Pages 62-81]
  • First order reliability method Profiled Composite Slab Strength Determination Method [Volume 2, Issue 2, 2018, Pages 31-55]
  • Flat slab A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP [Volume 3, Issue 1, 2019, Pages 16-26]
  • Flexible pavements An Explicit Formulation for Estimation of Structural Number (SN) of Flexible Pavements in 1993 AASHTO Design Guide using Response Surface Methodology (RSM) [Volume 6, Issue 2, 2022, Pages 35-50]
  • Flexural load An Equation to Determine the Ultimate Flexural Load of RC Beams Strengthened with CFRP Laminates [Volume 2, Issue 4, 2018, Pages 86-95]
  • Flexural Strength Prediction of Flexural Strength of Concrete Produced by Using Pozzolanic Materials and Partly Replacing NFA by MS [Volume 3, Issue 2, 2019, Pages 65-75]
  • Flexure Failure Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]
  • FMCDM Identifying and Ranking of Mechanized Tunneling Project's Risks by Using A Fuzzy Multi-Criteria Decision Making Technique [Volume 6, Issue 1, 2022, Pages 29-45]
  • Foundation settlement Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement [Volume 2, Issue 1, 2018, Pages 85-100]
  • Free swell Index Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 47-62]
  • Freezing–thawing Evaluation of Dimension Stone According to Resistance to Freeze–Thaw Cycling to Use in Cold Regions [Volume 6, Issue 1, 2022, Pages 88-109]
  • FRP GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs [Volume 1, Issue 1, 2017, Pages 86-92]
  • FRP Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • FRP The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • FRP An Equation to Determine the Ultimate Flexural Load of RC Beams Strengthened with CFRP Laminates [Volume 2, Issue 4, 2018, Pages 86-95]
  • FRP A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP [Volume 3, Issue 1, 2019, Pages 16-26]
  • FSW Process Parameter Optimization of 6061AA Friction Stir Welded Joints Using Supervised Machine Learning Regression-Based Algorithms [Volume 6, Issue 1, 2022, Pages 127-137]
  • Functionalized tips Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Fuzzy Data Envelopment Analysis Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]
  • Fuzzy Delphi Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques [Volume 2, Issue 1, 2018, Pages 101-116]
  • Fuzzy logic Estimating Channel Cross Section Runoff Overflow Using Fuzzy Rule Based System: A Hydrologic Analysis of Mt. Isarog Watershed [Volume 3, Issue 3, 2019, Pages 37-46]
  • Fuzzy logic Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques [Volume 6, Issue 1, 2022, Pages 110-126]
  • Fuzzy System Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]

G

  • Garmsar Investigating the Performance of Neural Network Based Group Method of Data Handling to Pan's Daily Evaporation Estimation (Case Study: Garmsar City) [Volume 5, Issue 2, 2021, Pages 1-18]
  • Garson’s algorithm A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin [Volume 4, Issue 2, 2020, Pages 1-12]
  • Gaussian process modeling The Gaussian Process Modeling Module in UQLab [Volume 2, Issue 3, 2018, Pages 91-116]
  • Gaussian Process Regression Gaussian Process Regression (GPR) for Auto-Estimation of Resilient Modulus of Stabilized Base Materials [Volume 5, Issue 1, 2021, Pages 80-94]
  • Gene expression Providing SSPCO Algorithm to Construct Static Protein-Protein Interaction (PPI) Networks [Volume 6, Issue 2, 2022, Pages 68-91]
  • Gene expression programming Predicting Post-Fire Behavior of Green Geopolymer Mortar Containing Recycled Concrete Aggregate via GEP Approach [Volume 4, Issue 2, 2020, Pages 22-45]
  • Gene expression programming Assessment of the Modulus of Elasticity at a Triaxial Stress State for Rocks Using Gene Expression Programming [Volume 4, Issue 4, 2020, Pages 47-60]
  • Gene-Expression Programming No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Generalized reduced gradient (GRG) algorithm A Hybrid Generalized Reduced Gradient-Based Particle Swarm Optimizer for Constrained Engineering Optimization Problems [Volume 5, Issue 2, 2021, Pages 86-119]
  • Generative adversarial network (GAN) Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • Genetic Algorithm Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • Genetic Algorithm Process Parameter Optimization for Minimizing Springback in Cold Drawing Process of Seamless Tubes Using Advanced Optimization Algorithms [Volume 2, Issue 3, 2018, Pages 72-90]
  • Genetic Algorithm Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO) for Discrete and Continuous Size Optimization of 2D Truss Structures [Volume 3, Issue 2, 2019, Pages 76-97]
  • Genetic Algorithm Life Cycle Cost GA Optimization of Repaired Reinforced Concrete Structures Located in a Marine Environment [Volume 3, Issue 4, 2019, Pages 41-50]
  • Genetic Algorithm Design Optimization of Reinforced Concrete Waffle Slab Using Genetic Algorithm [Volume 4, Issue 2, 2020, Pages 46-62]
  • Genetic Algorithm A Modified Genetic Algorithm in C++ for Optimization of Steel Truss Structures [Volume 5, Issue 1, 2021, Pages 95-108]
  • Genetic Algorithm Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP [Volume 6, Issue 1, 2022, Pages 66-87]
  • Genetic Algorithm Optimization of Concrete Beams Reinforced with GFRP Bars [Volume 6, Issue 3, 2022, Pages 18-38]
  • Genetic algorithm (GA) Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Genetic Algorithms Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater [Volume 2, Issue 4, 2018, Pages 1-22]
  • Genetic Algorithms Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms [Volume 3, Issue 3, 2019, Pages 62-81]
  • Genetic Algorithms Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • Genotypes A Modified Genetic Algorithm in C++ for Optimization of Steel Truss Structures [Volume 5, Issue 1, 2021, Pages 95-108]
  • Geopolymer mortar Predicting Post-Fire Behavior of Green Geopolymer Mortar Containing Recycled Concrete Aggregate via GEP Approach [Volume 4, Issue 2, 2020, Pages 22-45]
  • GEP Modelling of Concrete Compressive Strength Admixed with GGBFS Using Gene Expression Programming [Volume 3, Issue 2, 2019, Pages 43-53]
  • GFRP bars Optimization of Concrete Beams Reinforced with GFRP Bars [Volume 6, Issue 3, 2022, Pages 18-38]
  • GGBFS Modelling of Concrete Compressive Strength Admixed with GGBFS Using Gene Expression Programming [Volume 3, Issue 2, 2019, Pages 43-53]
  • GIS GIS 3D and Science of Augmented Reality: Modeling a 3D Geospatial Environment [Volume 3, Issue 4, 2019, Pages 78-87]
  • GMDH GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs [Volume 1, Issue 1, 2017, Pages 86-92]
  • GMDH-NN Investigating the Performance of Neural Network Based Group Method of Data Handling to Pan's Daily Evaporation Estimation (Case Study: Garmsar City) [Volume 5, Issue 2, 2021, Pages 1-18]
  • Google satellite images A Study of Bank Line Shifting of the Selected Reach of Jamuna River Using Multi-Variant Regression Model [Volume 6, Issue 2, 2022, Pages 21-34]
  • Graph Partitioning Providing SSPCO Algorithm to Construct Static Protein-Protein Interaction (PPI) Networks [Volume 6, Issue 2, 2022, Pages 68-91]
  • Grey-Fuzzy optimization A Grey-Fuzzy Based Approach for the Optimization of Corrosion Resistance of Rebars Coated with Ternary Electroless Nickel Coatings [Volume 6, Issue 2, 2022, Pages 107-127]
  • Groundwater quality Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques [Volume 6, Issue 1, 2022, Pages 110-126]
  • Group method of data handling Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP [Volume 6, Issue 1, 2022, Pages 66-87]
  • GWO Algorithm Optimal Operation of Dam Reservoir Using Gray Wolf Optimizer Algorithm (Case Study: Urmia Shaharchay Dam in Iran) [Volume 3, Issue 3, 2019, Pages 47-61]

H

  • Heat Index Simulating the Urban Heat Island Augmented with a Heat Wave Episode Using ICTP RegCM4.7 in a Mega-Urban Structure of Karachi, Pakistan [Volume 5, Issue 1, 2021, Pages 49-61]
  • HEC-HMS Hydrologic Performance of Drainage Network Under Different Climatic and Land-Use Conditions, A Case Study of Chattogram [Volume 4, Issue 4, 2020, Pages 1-23]
  • HEC-RAS A Study of Bank Line Shifting of the Selected Reach of Jamuna River Using Multi-Variant Regression Model [Volume 6, Issue 2, 2022, Pages 21-34]
  • Hidden Layers Estimation of Building Construction Cost Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 91-107]
  • Hierarchal TOPSIS, Pharmaceutical company Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]
  • Highly resolution image Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • Highway An Analysis of Sight Distances Considering Both the Vertical and Horizontal Curves of a Tourist Bound Destination Highway in Camarines Sur: The Lagonoy-Presentacion Section [Volume 2, Issue 2, 2018, Pages 116-126]
  • Highway construction project Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Network and Support Vector Machine Models [Volume 4, Issue 2, 2020, Pages 103-112]
  • Holt-Winters model Assessment of Statistical Models for Rainfall Forecasting Using Machine Learning Technique [Volume 6, Issue 2, 2022, Pages 51-67]
  • Horizontal curve An Analysis of Sight Distances Considering Both the Vertical and Horizontal Curves of a Tourist Bound Destination Highway in Camarines Sur: The Lagonoy-Presentacion Section [Volume 2, Issue 2, 2018, Pages 116-126]
  • Hot weather concreting Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • Human Factor Engineering Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]
  • Hybrid GA-ANN Model Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Hybrid global-local search engine A Hybrid Generalized Reduced Gradient-Based Particle Swarm Optimizer for Constrained Engineering Optimization Problems [Volume 5, Issue 2, 2021, Pages 86-119]
  • Hybrid PSO-SA optimization An Innovative Optimized Design for Laminated Composites in terms of a Proposed Bi-Objective Technique [Volume 4, Issue 1, 2020, Pages 1-28]
  • Hydrology Investigating the Performance of Neural Network Based Group Method of Data Handling to Pan's Daily Evaporation Estimation (Case Study: Garmsar City) [Volume 5, Issue 2, 2021, Pages 1-18]

I

  • Intensity Measure Correlation of Ground Motion Duration with Its Intensity Metrics: A Simulation Based Approach [Volume 4, Issue 3, 2020, Pages 17-39]
  • Interactions Escort Patterns in Dual-Worker Households with Students [Volume 5, Issue 1, 2021, Pages 62-79]
  • Invasive Weed Optimization (IWO) Algorithm Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • Inverse T-Shaped Retaining Walls Prediction of Concrete and Steel Materials Contained by Cantilever Retaining Wall by Modeling the Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 47-61]

J

  • Joint roughness coefficient (JRC) Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics [Volume 2, Issue 4, 2018, Pages 62-71]

K

  • Kaolin clay Neural Models for Unconfined Compressive Strength of Kaolin Clay Mixed with Pond Ash, Rice Husk Ash and Cement [Volume 4, Issue 2, 2020, Pages 85-102]
  • Karachi Heat Wave Simulating the Urban Heat Island Augmented with a Heat Wave Episode Using ICTP RegCM4.7 in a Mega-Urban Structure of Karachi, Pakistan [Volume 5, Issue 1, 2021, Pages 49-61]
  • Kernel function Stream Flow Forecasting Using Least Square Support Vector Regression [Volume 2, Issue 2, 2018, Pages 56-88]
  • Kriging The Gaussian Process Modeling Module in UQLab [Volume 2, Issue 3, 2018, Pages 91-116]

L

  • Labyrinth weir Experimental Investigation and Modeling of Aeration Efficiency at Labyrinth Weirs [Volume 5, Issue 3, 2021, Pages 15-31]
  • Laminated composites An Innovative Optimized Design for Laminated Composites in terms of a Proposed Bi-Objective Technique [Volume 4, Issue 1, 2020, Pages 1-28]
  • Layered sand Application of Random Forest Regression in the Prediction of Ultimate Bearing Capacity of Strip Footing Resting on Dense Sand Overlying Loose Sand Deposit [Volume 3, Issue 4, 2019, Pages 28-40]
  • Layup blending An Innovative Optimized Design for Laminated Composites in terms of a Proposed Bi-Objective Technique [Volume 4, Issue 1, 2020, Pages 1-28]
  • Layup design An Innovative Optimized Design for Laminated Composites in terms of a Proposed Bi-Objective Technique [Volume 4, Issue 1, 2020, Pages 1-28]
  • Least-square support vector machine Effect of MDF-Cover for Water Reservoir Evaporation Reduction, Experimental, and Soft Computing Approaches [Volume 4, Issue 1, 2020, Pages 98-110]
  • Limestone Site Selection for Limestone Paper Plant Using AHP-Monte Carlo Approach [Volume 3, Issue 1, 2019, Pages 36-46]
  • Limit State Function Reliability Analysis of Structures Using Modified FA-PSO Algorithm [Volume 2, Issue 2, 2018, Pages 89-101]
  • Liquefaction Use of ANN, C4.5 and Random Forest Algorithm in the Evaluation of Seismic Soil Liquefaction [Volume 6, Issue 2, 2022, Pages 92-106]
  • Local Sensitive Curve (LSC) Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Longitudinal shear Profiled Composite Slab Strength Determination Method [Volume 2, Issue 2, 2018, Pages 31-55]

M

  • M5P Experimental Investigation and Modeling of Aeration Efficiency at Labyrinth Weirs [Volume 5, Issue 3, 2021, Pages 15-31]
  • M5P model tree Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand [Volume 3, Issue 2, 2019, Pages 30-42]
  • M5P model tree Application of Random Forest Regression in the Prediction of Ultimate Bearing Capacity of Strip Footing Resting on Dense Sand Overlying Loose Sand Deposit [Volume 3, Issue 4, 2019, Pages 28-40]
  • Machine-learning Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio [Volume 5, Issue 3, 2021, Pages 88-100]
  • Machine Learning Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning Models [Volume 4, Issue 1, 2020, Pages 72-97]
  • Machine Learning Classification of Seismic Vulnerability Based on Machine Learning Techniques for RC Frames [Volume 4, Issue 2, 2020, Pages 13-21]
  • Machine Learning Application and Analysis of Machine Learning Algorithms for Design of Concrete Mix with Plasticizer and without Plasticizer [Volume 5, Issue 1, 2021, Pages 19-37]
  • Machine Learning Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes [Volume 5, Issue 4, 2021, Pages 1-20]
  • Machine Learning Process Parameter Optimization of 6061AA Friction Stir Welded Joints Using Supervised Machine Learning Regression-Based Algorithms [Volume 6, Issue 1, 2022, Pages 127-137]
  • Machine Learning Parametric Assessment of Concrete Constituent Materials Using Machine Learning Techniques [Volume 6, Issue 3, 2022, Pages 39-62]
  • Machine learning and deep learning technique A Study of Bank Line Shifting of the Selected Reach of Jamuna River Using Multi-Variant Regression Model [Volume 6, Issue 2, 2022, Pages 21-34]
  • Machine learning classifier Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization [Volume 5, Issue 4, 2021, Pages 57-73]
  • Machine learning for capacity curve prediction Multiple Target Machine Learning Prediction of Capacity Curves of Reinforced Concrete Shear Walls [Volume 5, Issue 4, 2021, Pages 90-113]
  • Macro-ergonomic Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]
  • Maintenance and rehabilitation Automatic Crack Detection Using Convolutional Neural Network [Volume 6, Issue 3, 2022, Pages 1-17]
  • Manning’s n Hydrologic Performance of Drainage Network Under Different Climatic and Land-Use Conditions, A Case Study of Chattogram [Volume 4, Issue 4, 2020, Pages 1-23]
  • Manufactured sand Prediction of Flexural Strength of Concrete Produced by Using Pozzolanic Materials and Partly Replacing NFA by MS [Volume 3, Issue 2, 2019, Pages 65-75]
  • Marine clay Prediction of Compression Index of Marine clay Using Artificial Neural Network and Multilinear Regression Models [Volume 5, Issue 4, 2021, Pages 114-124]
  • Marine environment Life Cycle Cost GA Optimization of Repaired Reinforced Concrete Structures Located in a Marine Environment [Volume 3, Issue 4, 2019, Pages 41-50]
  • Masonry Compressive Strength Estimation of Mesh Embedded Masonry Prism Using Empirical and Neural Network Models [Volume 4, Issue 4, 2020, Pages 24-35]
  • Master Curves Neural Network Based Model to Estimate Dynamic Modulus E* for Mixtures in Costa Rica [Volume 3, Issue 2, 2019, Pages 1-15]
  • MATLAB The Gaussian Process Modeling Module in UQLab [Volume 2, Issue 3, 2018, Pages 91-116]
  • MATLAB EC2 (euro code 2) Design Optimization of Reinforced Concrete Waffle Slab Using Genetic Algorithm [Volume 4, Issue 2, 2020, Pages 46-62]
  • Matlab R2012b Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Maximum dry density Artificial Neural Networks Prediction of Compaction Characteristics of Black Cotton Soil Stabilized with Cement Kiln Dust [Volume 2, Issue 3, 2018, Pages 50-71]
  • Maximum speed An Analysis of Sight Distances Considering Both the Vertical and Horizontal Curves of a Tourist Bound Destination Highway in Camarines Sur: The Lagonoy-Presentacion Section [Volume 2, Issue 2, 2018, Pages 116-126]
  • MDF Effect of MDF-Cover for Water Reservoir Evaporation Reduction, Experimental, and Soft Computing Approaches [Volume 4, Issue 1, 2020, Pages 98-110]
  • Membership function construction A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]
  • Memetic algorithms Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater [Volume 2, Issue 4, 2018, Pages 1-22]
  • Mesoscopic Mesoscopic Generation of Random Concrete Structure Using Equivalent Space Method [Volume 3, Issue 3, 2019, Pages 82-94]
  • Metakaolin A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin [Volume 4, Issue 2, 2020, Pages 1-12]
  • Micro-cracks A Comparative Review of Image Processing Based Crack Detection Techniques on Civil Engineering Structures [Volume 5, Issue 3, 2021, Pages 58-74]
  • Micro-ergonomic Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]
  • Microstructure Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes [Volume 5, Issue 4, 2021, Pages 1-20]
  • MLR Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service [Volume 2, Issue 1, 2018, Pages 18-35]
  • MLR Modelling Slump of Concrete Containing Natural Coarse Aggregate from Bida Environs Using Artificial Neural Network [Volume 5, Issue 2, 2021, Pages 19-38]
  • Modal Curvature Damage Localization of RC Beams via Wavelet Analysis of Noise Contaminated Modal Curvatures [Volume 5, Issue 3, 2021, Pages 101-133]
  • Modal data Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [Volume 5, Issue 2, 2021, Pages 39-67]
  • Model equation Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand [Volume 5, Issue 4, 2021, Pages 74-89]
  • Modeling Assessment of the Modulus of Elasticity at a Triaxial Stress State for Rocks Using Gene Expression Programming [Volume 4, Issue 4, 2020, Pages 47-60]
  • Models Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network [Volume 4, Issue 4, 2020, Pages 61-78]
  • Modified FA-PSO algorithm Reliability Analysis of Structures Using Modified FA-PSO Algorithm [Volume 2, Issue 2, 2018, Pages 89-101]
  • Moisture Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Moment Capacity Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]
  • Monte Carlo Site Selection for Limestone Paper Plant Using AHP-Monte Carlo Approach [Volume 3, Issue 1, 2019, Pages 36-46]
  • Monthly precipitation Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model [Volume 4, Issue 4, 2020, Pages 36-46]
  • Mortar A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin [Volume 4, Issue 2, 2020, Pages 1-12]
  • MR damper Adaptive Neuro-Fuzzy and Simple Adaptive Control Methods for Attenuating the Seismic Responses of Coupled Buildings with Semi-Active Devices: Comparative Study [Volume 3, Issue 3, 2019, Pages 1-21]
  • Multi-criteria decision making Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques [Volume 2, Issue 1, 2018, Pages 101-116]
  • Multi-criteria decision making The Use of VIKOR Method to Set up Place Locating of Processing Plant (Case Study: Processing Plant of South of West Azerbaijan) [Volume 5, Issue 1, 2021, Pages 38-48]
  • Multi-layer Perceptron Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand [Volume 5, Issue 4, 2021, Pages 74-89]
  • Multilayer Perceptron Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Multi-linear regression Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand [Volume 5, Issue 4, 2021, Pages 74-89]
  • Multilinear regression Prediction of Compression Index of Marine clay Using Artificial Neural Network and Multilinear Regression Models [Volume 5, Issue 4, 2021, Pages 114-124]
  • Multi-Objective Optimization The Need for Recurrent Learning Neural Network and Combine Pareto Differential Algorithm for Multi-Objective Optimization of Real Time Reservoir Operations [Volume 4, Issue 3, 2020, Pages 52-64]
  • Multiple linear regression Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 27-38]
  • Multiple linear regression predictive model (MLRPM) Compressive Strength Estimation of Mesh Embedded Masonry Prism Using Empirical and Neural Network Models [Volume 4, Issue 4, 2020, Pages 24-35]
  • Multiple objectives optimization Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater [Volume 2, Issue 4, 2018, Pages 1-22]
  • Multiple Regression Analysis Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 34-46]
  • Multiple Regression Analysis Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 47-62]
  • Multiple-target regression model Multiple Target Machine Learning Prediction of Capacity Curves of Reinforced Concrete Shear Walls [Volume 5, Issue 4, 2021, Pages 90-113]
  • Multivariate Adaptive Regression Spline (MARS) Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters [Volume 5, Issue 3, 2021, Pages 32-57]

N

  • Nanoindentation Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes [Volume 5, Issue 4, 2021, Pages 1-20]
  • Natural Language Processing (NLP) Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Nature-Inspired Algorithms Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • Neural Network Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network [Volume 1, Issue 2, 2017, Pages 8-18]
  • Neural Network Neural Network Based Model to Estimate Dynamic Modulus E* for Mixtures in Costa Rica [Volume 3, Issue 2, 2019, Pages 1-15]
  • Neural Networks Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Neural Networks Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Network and Support Vector Machine Models [Volume 4, Issue 2, 2020, Pages 103-112]
  • Neuro-Fuzzy Fuzzy-Based Approach to Predict the Performance of Shear Connectors in Composite Structures [Volume 3, Issue 4, 2019, Pages 1-11]
  • Neuro-fuzzy system A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP [Volume 3, Issue 1, 2019, Pages 16-26]
  • Neutrosophic interval probability Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics [Volume 2, Issue 4, 2018, Pages 62-71]
  • Neutrosophic interval statistical number Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics [Volume 2, Issue 4, 2018, Pages 62-71]
  • Neutrosophic statistics Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics [Volume 2, Issue 4, 2018, Pages 62-71]
  • Ni-Cu-P A Grey-Fuzzy Based Approach for the Optimization of Corrosion Resistance of Rebars Coated with Ternary Electroless Nickel Coatings [Volume 6, Issue 2, 2022, Pages 107-127]
  • Ni-W-P A Grey-Fuzzy Based Approach for the Optimization of Corrosion Resistance of Rebars Coated with Ternary Electroless Nickel Coatings [Volume 6, Issue 2, 2022, Pages 107-127]
  • No-deposition No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Noises A Comparative Review of Image Processing Based Crack Detection Techniques on Civil Engineering Structures [Volume 5, Issue 3, 2021, Pages 58-74]
  • Noisy contaminated Condition Damage Localization of RC Beams via Wavelet Analysis of Noise Contaminated Modal Curvatures [Volume 5, Issue 3, 2021, Pages 101-133]
  • Non-Ductile Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Non-isosceles A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]
  • Noor coastal Application of Adaptive Neuro-Fuzzy Inference System to Estimate Alongshore Sediment Transport Rate (A Real Case Study: Southern Shorelines of Caspian Sea) [Volume 2, Issue 4, 2018, Pages 72-85]

O

  • OpenSees Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO) for Discrete and Continuous Size Optimization of 2D Truss Structures [Volume 3, Issue 2, 2019, Pages 76-97]
  • Optimization operators A Modified Genetic Algorithm in C++ for Optimization of Steel Truss Structures [Volume 5, Issue 1, 2021, Pages 95-108]
  • Optimization Technique Physical and Physic-Chemical Based Optimization Methods: A Review [Volume 3, Issue 4, 2019, Pages 12-27]
  • Optimum Design Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • Optimum moisture content Artificial Neural Networks Prediction of Compaction Characteristics of Black Cotton Soil Stabilized with Cement Kiln Dust [Volume 2, Issue 3, 2018, Pages 50-71]
  • Organization Management Performance Evaluation of Organizations Based on Human Factor Engineering Using Fuzzy Data Envelopment Analysis (FDEA) [Volume 3, Issue 1, 2019, Pages 63-90]

P

  • Papaya Spillway Application of ANN in Estimating Discharge Coefficient of Circular Piano Key Spillways [Volume 2, Issue 3, 2018, Pages 39-49]
  • Paper plant Site Selection for Limestone Paper Plant Using AHP-Monte Carlo Approach [Volume 3, Issue 1, 2019, Pages 36-46]
  • Pareto The Need for Recurrent Learning Neural Network and Combine Pareto Differential Algorithm for Multi-Objective Optimization of Real Time Reservoir Operations [Volume 4, Issue 3, 2020, Pages 52-64]
  • Particle swarm Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater [Volume 2, Issue 4, 2018, Pages 1-22]
  • Particle Swarm Algorithm Optimization-Based Design of 3D Reinforced Concrete Structures [Volume 3, Issue 3, 2019, Pages 95-106]
  • Particle Swarm Optimization Process Parameter Optimization for Minimizing Springback in Cold Drawing Process of Seamless Tubes Using Advanced Optimization Algorithms [Volume 2, Issue 3, 2018, Pages 72-90]
  • Particle Swarm Optimization Algorithm Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO) for Discrete and Continuous Size Optimization of 2D Truss Structures [Volume 3, Issue 2, 2019, Pages 76-97]
  • Particle Swarm Optimization (PSO) Dual Target Optimization of Two-Dimensional Truss Using Cost Efficiency and Structural Reliability Sufficiency [Volume 4, Issue 4, 2020, Pages 98-111]
  • Particle Swarm Optimization (PSO) A Hybrid Generalized Reduced Gradient-Based Particle Swarm Optimizer for Constrained Engineering Optimization Problems [Volume 5, Issue 2, 2021, Pages 86-119]
  • Pavements Neural Network Based Model to Estimate Dynamic Modulus E* for Mixtures in Costa Rica [Volume 3, Issue 2, 2019, Pages 1-15]
  • PCU Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service [Volume 2, Issue 1, 2018, Pages 18-35]
  • Peak Discharge Hourly Flood Forecasting Using Hybrid Wavelet-SVM [Volume 6, Issue 2, 2022, Pages 1-20]
  • Percolation model Performance of Image-Based Crack Detection Systems in Concrete Structures [Volume 4, Issue 1, 2020, Pages 127-139]
  • Pervious concrete Optimizing the Mechanical Properties of Pervious Concrete Containing Calcium Carbide and Rice Husk Ash Using Response Surface Methodology [Volume 4, Issue 3, 2020, Pages 106-123]
  • Physical Physical and Physic-Chemical Based Optimization Methods: A Review [Volume 3, Issue 4, 2019, Pages 12-27]
  • Physic-Chemical Physical and Physic-Chemical Based Optimization Methods: A Review [Volume 3, Issue 4, 2019, Pages 12-27]
  • Place Locating The Use of VIKOR Method to Set up Place Locating of Processing Plant (Case Study: Processing Plant of South of West Azerbaijan) [Volume 5, Issue 1, 2021, Pages 38-48]
  • Plastic Encasement Using the Artificial Neural Network to Predict the Axial Strength and Strain of Concrete-Filled Plastic Tube [Volume 4, Issue 2, 2020, Pages 63-84]
  • Plastic shrinkage Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • PNM mesh Compressive Strength Estimation of Mesh Embedded Masonry Prism Using Empirical and Neural Network Models [Volume 4, Issue 4, 2020, Pages 24-35]
  • Polymer matrix Prediction of Mechanical Strength Attributes of Coir/Sisal Polyester Natural Composites by ANN [Volume 4, Issue 3, 2020, Pages 79-105]
  • Pond ash Neural Models for Unconfined Compressive Strength of Kaolin Clay Mixed with Pond Ash, Rice Husk Ash and Cement [Volume 4, Issue 2, 2020, Pages 85-102]
  • P-P interaction networks Providing SSPCO Algorithm to Construct Static Protein-Protein Interaction (PPI) Networks [Volume 6, Issue 2, 2022, Pages 68-91]
  • Precipitation Estimating Channel Cross Section Runoff Overflow Using Fuzzy Rule Based System: A Hydrologic Analysis of Mt. Isarog Watershed [Volume 3, Issue 3, 2019, Pages 37-46]
  • Precipitation forecasting Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model [Volume 4, Issue 4, 2020, Pages 36-46]
  • Prediction models Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete [Volume 2, Issue 1, 2018, Pages 62-70]
  • Prediction with neural network Prediction of Concrete and Steel Materials Contained by Cantilever Retaining Wall by Modeling the Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 47-61]
  • Prestressed concrete slab Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [Volume 5, Issue 2, 2021, Pages 39-67]
  • Processing Plant The Use of VIKOR Method to Set up Place Locating of Processing Plant (Case Study: Processing Plant of South of West Azerbaijan) [Volume 5, Issue 1, 2021, Pages 38-48]
  • Process Parameters Process Parameter Optimization of 6061AA Friction Stir Welded Joints Using Supervised Machine Learning Regression-Based Algorithms [Volume 6, Issue 1, 2022, Pages 127-137]
  • Profiled composite slab Profiled Composite Slab Strength Determination Method [Volume 2, Issue 2, 2018, Pages 31-55]
  • Project scheduling Evolutionary Algorithm Performance Evaluation in Project Time-Cost Optimization [Volume 3, Issue 2, 2019, Pages 16-29]
  • PROMETHEE Evaluation of Dimension Stone According to Resistance to Freeze–Thaw Cycling to Use in Cold Regions [Volume 6, Issue 1, 2022, Pages 88-109]
  • PSO The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • PSO algorithm Evaluation of Dimension Stone According to Resistance to Freeze–Thaw Cycling to Use in Cold Regions [Volume 6, Issue 1, 2022, Pages 88-109]
  • Punching shear A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP [Volume 3, Issue 1, 2019, Pages 16-26]
  • Purely uniform distributed swarm A Hybrid Generalized Reduced Gradient-Based Particle Swarm Optimizer for Constrained Engineering Optimization Problems [Volume 5, Issue 2, 2021, Pages 86-119]
  • Python Process Parameter Optimization of 6061AA Friction Stir Welded Joints Using Supervised Machine Learning Regression-Based Algorithms [Volume 6, Issue 1, 2022, Pages 127-137]

R

  • Random aggregate structure Mesoscopic Generation of Random Concrete Structure Using Equivalent Space Method [Volume 3, Issue 3, 2019, Pages 82-94]
  • Random forest Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Network and Support Vector Machine Models [Volume 4, Issue 2, 2020, Pages 103-112]
  • Random Forest Algorithm Use of ANN, C4.5 and Random Forest Algorithm in the Evaluation of Seismic Soil Liquefaction [Volume 6, Issue 2, 2022, Pages 92-106]
  • Random forest regression Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand [Volume 3, Issue 2, 2019, Pages 30-42]
  • Random forest regression Application of Random Forest Regression in the Prediction of Ultimate Bearing Capacity of Strip Footing Resting on Dense Sand Overlying Loose Sand Deposit [Volume 3, Issue 4, 2019, Pages 28-40]
  • Random Forest (RF) Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters [Volume 5, Issue 3, 2021, Pages 32-57]
  • RC Beam Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network [Volume 1, Issue 2, 2017, Pages 8-18]
  • RC Beams Damage Localization of RC Beams via Wavelet Analysis of Noise Contaminated Modal Curvatures [Volume 5, Issue 3, 2021, Pages 101-133]
  • RC element The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • RC joint Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • RC-Slabs GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs [Volume 1, Issue 1, 2017, Pages 86-92]
  • Real time recurrent learning Neural Network The Need for Recurrent Learning Neural Network and Combine Pareto Differential Algorithm for Multi-Objective Optimization of Real Time Reservoir Operations [Volume 4, Issue 3, 2020, Pages 52-64]
  • Rear-end collision A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • Rebar A Grey-Fuzzy Based Approach for the Optimization of Corrosion Resistance of Rebars Coated with Ternary Electroless Nickel Coatings [Volume 6, Issue 2, 2022, Pages 107-127]
  • Recycled Concrete Aggregate Predicting Post-Fire Behavior of Green Geopolymer Mortar Containing Recycled Concrete Aggregate via GEP Approach [Volume 4, Issue 2, 2020, Pages 22-45]
  • Recycled panels Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches [Volume 5, Issue 4, 2021, Pages 41-56]
  • Reduction factor Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand [Volume 3, Issue 2, 2019, Pages 30-42]
  • Reference crop Evapotranspiration Modeling of Reference Crop Evapotranspiration in Wet and Dry Climates Using Data-Mining Methods and Empirical Equations [Volume 6, Issue 1, 2022, Pages 1-28]
  • Refined simplified neutrosophic set Refined Simplified Neutrosophic Similarity Measures Based on Trigonometric Function and Their Application in Construction Project Decision-Making [Volume 2, Issue 3, 2018, Pages 1-12]
  • RegCM4.7 Simulating the Urban Heat Island Augmented with a Heat Wave Episode Using ICTP RegCM4.7 in a Mega-Urban Structure of Karachi, Pakistan [Volume 5, Issue 1, 2021, Pages 49-61]
  • Regularization An Interior-Constraint BEM for Regularization of Problems with Improper Boundary Conditions [Volume 2, Issue 2, 2018, Pages 1-18]
  • Regularization Estimation of Building Construction Cost Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 91-107]
  • Reinforced concrete shear wall Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP [Volume 6, Issue 1, 2022, Pages 66-87]
  • Reliability Profiled Composite Slab Strength Determination Method [Volume 2, Issue 2, 2018, Pages 31-55]
  • Reliability Modeling of Compressive Strength Characteristics of Structural-sized Afara (Terminalia superba) and Babo (Isoberlinia doka) Timber Columns Using Constant Failure Rate (CFR) Model of Reliability [Volume 2, Issue 2, 2018, Pages 102-115]
  • Reliability-based design Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement [Volume 2, Issue 1, 2018, Pages 85-100]
  • Reliability Index Reliability Analysis of Structures Using Modified FA-PSO Algorithm [Volume 2, Issue 2, 2018, Pages 89-101]
  • Remote Sensing Machine Learning Method for Predicting the Depth of Shallow Lakes Using Multi-Band Remote Sensing Images [Volume 3, Issue 2, 2019, Pages 54-64]
  • Repair and Maintenance Life Cycle Cost GA Optimization of Repaired Reinforced Concrete Structures Located in a Marine Environment [Volume 3, Issue 4, 2019, Pages 41-50]
  • Reservoir Storage Optimal Operation of Dam Reservoir Using Gray Wolf Optimizer Algorithm (Case Study: Urmia Shaharchay Dam in Iran) [Volume 3, Issue 3, 2019, Pages 47-61]
  • Resilient back propagation (Rprop) Use of ANN, C4.5 and Random Forest Algorithm in the Evaluation of Seismic Soil Liquefaction [Volume 6, Issue 2, 2022, Pages 92-106]
  • Resilient Modulus Gaussian Process Regression (GPR) for Auto-Estimation of Resilient Modulus of Stabilized Base Materials [Volume 5, Issue 1, 2021, Pages 80-94]
  • ResNet50 Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • Response Surface Methodology Optimizing the Mechanical Properties of Pervious Concrete Containing Calcium Carbide and Rice Husk Ash Using Response Surface Methodology [Volume 4, Issue 3, 2020, Pages 106-123]
  • Response surface methodology (RSM) An Explicit Formulation for Estimation of Structural Number (SN) of Flexible Pavements in 1993 AASHTO Design Guide using Response Surface Methodology (RSM) [Volume 6, Issue 2, 2022, Pages 35-50]
  • Retaining wall optimization Optimizing Reinforced Concrete Cantilever Retaining Walls Using Gases Brownian Motion Algorithm (GBMOA) [Volume 5, Issue 1, 2021, Pages 1-18]
  • Reverse Wavelet Transform Optimum Design of Structures for Seismic Loading by Simulated Annealing Using Wavelet Transform [Volume 2, Issue 4, 2018, Pages 23-33]
  • RF Experimental Investigation and Modeling of Aeration Efficiency at Labyrinth Weirs [Volume 5, Issue 3, 2021, Pages 15-31]
  • Rice Husk Ash Neural Models for Unconfined Compressive Strength of Kaolin Clay Mixed with Pond Ash, Rice Husk Ash and Cement [Volume 4, Issue 2, 2020, Pages 85-102]
  • Rice Husk Ash Optimizing the Mechanical Properties of Pervious Concrete Containing Calcium Carbide and Rice Husk Ash Using Response Surface Methodology [Volume 4, Issue 3, 2020, Pages 106-123]
  • Rigid body motion constrains An Interior-Constraint BEM for Regularization of Problems with Improper Boundary Conditions [Volume 2, Issue 2, 2018, Pages 1-18]
  • Rigid pavement Comparative Analysis of Rigid Pavement Using Westergaard Method and Computer Program [Volume 2, Issue 2, 2018, Pages 19-30]
  • Risk Assessment Identifying and Ranking of Mechanized Tunneling Project's Risks by Using A Fuzzy Multi-Criteria Decision Making Technique [Volume 6, Issue 1, 2022, Pages 29-45]
  • Risk Management Identifying and Ranking of Mechanized Tunneling Project's Risks by Using A Fuzzy Multi-Criteria Decision Making Technique [Volume 6, Issue 1, 2022, Pages 29-45]
  • Rock mass Connectivity and Flowrate Estimation of Discrete Fracture Network Using Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 13-26]

S

  • SAC method Adaptive Neuro-Fuzzy and Simple Adaptive Control Methods for Attenuating the Seismic Responses of Coupled Buildings with Semi-Active Devices: Comparative Study [Volume 3, Issue 3, 2019, Pages 1-21]
  • Safety index Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement [Volume 2, Issue 1, 2018, Pages 85-100]
  • SAP2000 Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Saturated Clays Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • Saudi Arabia Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • SBC 301 (2007) Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Scale effect Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics [Volume 2, Issue 4, 2018, Pages 62-71]
  • School trips Escort Patterns in Dual-Worker Households with Students [Volume 5, Issue 1, 2021, Pages 62-79]
  • Second Order Cone Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • Sediment transport No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Seismic Design Optimization-Based Design of 3D Reinforced Concrete Structures [Volume 3, Issue 3, 2019, Pages 95-106]
  • Seismic loads Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Seismic retrofit cost Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters [Volume 5, Issue 3, 2021, Pages 32-57]
  • Self-Compacting Concrete Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Finite Element Method [Volume 2, Issue 1, 2018, Pages 36-61]
  • Semi-empirical formula Application of Adaptive Neuro-Fuzzy Inference System to Estimate Alongshore Sediment Transport Rate (A Real Case Study: Southern Shorelines of Caspian Sea) [Volume 2, Issue 4, 2018, Pages 72-85]
  • Semnan Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model [Volume 4, Issue 4, 2020, Pages 36-46]
  • Sensitivity analysis Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Sensitivity analysis Application of Random Forest Regression in the Prediction of Ultimate Bearing Capacity of Strip Footing Resting on Dense Sand Overlying Loose Sand Deposit [Volume 3, Issue 4, 2019, Pages 28-40]
  • Sensitivity analysis Optimizing Reinforced Concrete Cantilever Retaining Walls Using Gases Brownian Motion Algorithm (GBMOA) [Volume 5, Issue 1, 2021, Pages 1-18]
  • Sensitivity analysis Investigating the Performance of Neural Network Based Group Method of Data Handling to Pan's Daily Evaporation Estimation (Case Study: Garmsar City) [Volume 5, Issue 2, 2021, Pages 1-18]
  • Sewer No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Shaharchay Dam Optimal Operation of Dam Reservoir Using Gray Wolf Optimizer Algorithm (Case Study: Urmia Shaharchay Dam in Iran) [Volume 3, Issue 3, 2019, Pages 47-61]
  • Shape Optimization Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • Shear Connector Fuzzy-Based Approach to Predict the Performance of Shear Connectors in Composite Structures [Volume 3, Issue 4, 2019, Pages 1-11]
  • Shear strength Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Shear strength Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • Shear strength The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • Shear strength Fuzzy-Based Approach to Predict the Performance of Shear Connectors in Composite Structures [Volume 3, Issue 4, 2019, Pages 1-11]
  • Shear strength Forecasting the Shear Strength of Binary Blended Concrete Containing Hydrated Lime Using Artificial Intelligence [Volume 5, Issue 2, 2021, Pages 135-151]
  • Shear strength Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP [Volume 6, Issue 1, 2022, Pages 66-87]
  • Shear wall database Multiple Target Machine Learning Prediction of Capacity Curves of Reinforced Concrete Shear Walls [Volume 5, Issue 4, 2021, Pages 90-113]
  • Shrinkage index Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 47-62]
  • Shuffled frog leaping Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater [Volume 2, Issue 4, 2018, Pages 1-22]
  • Sight distance An Analysis of Sight Distances Considering Both the Vertical and Horizontal Curves of a Tourist Bound Destination Highway in Camarines Sur: The Lagonoy-Presentacion Section [Volume 2, Issue 2, 2018, Pages 116-126]
  • Simulated Annealing Optimum Design of Structures for Seismic Loading by Simulated Annealing Using Wavelet Transform [Volume 2, Issue 4, 2018, Pages 23-33]
  • Simulated Annealing Process Parameter Optimization for Minimizing Springback in Cold Drawing Process of Seamless Tubes Using Advanced Optimization Algorithms [Volume 2, Issue 3, 2018, Pages 72-90]
  • SIMULINK diagrams Fuzzy Vibration Suppression of a Smart Elastic Plate Using Graphical Computing Environment [Volume 2, Issue 1, 2018, Pages 1-17]
  • Slope-intercept method Profiled Composite Slab Strength Determination Method [Volume 2, Issue 2, 2018, Pages 31-55]
  • Slump Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network [Volume 2, Issue 3, 2018, Pages 27-38]
  • Slump Modelling Slump of Concrete Containing Natural Coarse Aggregate from Bida Environs Using Artificial Neural Network [Volume 5, Issue 2, 2021, Pages 19-38]
  • Smart plate model Fuzzy Vibration Suppression of a Smart Elastic Plate Using Graphical Computing Environment [Volume 2, Issue 1, 2018, Pages 1-17]
  • Soft Computing Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Soft Computing Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Soft Computing Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Soft computing techniques Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques [Volume 6, Issue 1, 2022, Pages 110-126]
  • Soil stabilization Artificial Neural Networks Prediction of Compaction Characteristics of Black Cotton Soil Stabilized with Cement Kiln Dust [Volume 2, Issue 3, 2018, Pages 50-71]
  • Spatial discretization Fuzzy Vibration Suppression of a Smart Elastic Plate Using Graphical Computing Environment [Volume 2, Issue 1, 2018, Pages 1-17]
  • Springback Process Parameter Optimization for Minimizing Springback in Cold Drawing Process of Seamless Tubes Using Advanced Optimization Algorithms [Volume 2, Issue 3, 2018, Pages 72-90]
  • SSC Modelling of Daily Suspended Sediment Concentration Using FFBPNN and SVM Algorithms [Volume 5, Issue 2, 2021, Pages 120-134]
  • SSPCO Providing SSPCO Algorithm to Construct Static Protein-Protein Interaction (PPI) Networks [Volume 6, Issue 2, 2022, Pages 68-91]
  • Stabilized base Gaussian Process Regression (GPR) for Auto-Estimation of Resilient Modulus of Stabilized Base Materials [Volume 5, Issue 1, 2021, Pages 80-94]
  • Stem-Stepped Walls Prediction of Concrete and Steel Materials Contained by Cantilever Retaining Wall by Modeling the Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 47-61]
  • Storey drift Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio [Volume 5, Issue 3, 2021, Pages 88-100]
  • Strain at ultimate strength Using the Artificial Neural Network to Predict the Axial Strength and Strain of Concrete-Filled Plastic Tube [Volume 4, Issue 2, 2020, Pages 63-84]
  • Stream flow forecasting Stream Flow Forecasting Using Least Square Support Vector Regression [Volume 2, Issue 2, 2018, Pages 56-88]
  • Strength Modelling of Concrete Compressive Strength Admixed with GGBFS Using Gene Expression Programming [Volume 3, Issue 2, 2019, Pages 43-53]
  • Strength test Profiled Composite Slab Strength Determination Method [Volume 2, Issue 2, 2018, Pages 31-55]
  • Structural Optimization Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms [Volume 3, Issue 3, 2019, Pages 62-81]
  • Sungun Copper Mine Assessment of the Slope Stability Under Geological Conditions Using FDAHP-TOPSIS (A Case Study for Sungun Open Pit Mine) [Volume 5, Issue 4, 2021, Pages 21-40]
  • Super-resolution generative adversarial network (SRGAN) Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • Supervised Learning Process Parameter Optimization of 6061AA Friction Stir Welded Joints Using Supervised Machine Learning Regression-Based Algorithms [Volume 6, Issue 1, 2022, Pages 127-137]
  • Supervised machine learning Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques [Volume 6, Issue 1, 2022, Pages 110-126]
  • Supporting systems Selecting the Suitable Tunnel Supporting System Using an Integrated Decision Support System, (Case Study: Dolaei Tunnel of Touyserkan, Iran) [Volume 3, Issue 4, 2019, Pages 51-66]
  • Support Vector Machine Performance Evaluation of Machine Learning Models in Predicting Dry and Wet Climatic Phases [Volume 4, Issue 1, 2020, Pages 29-48]
  • Support Vector Machine Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Network and Support Vector Machine Models [Volume 4, Issue 2, 2020, Pages 103-112]
  • Support Vector Machine Hourly Flood Forecasting Using Hybrid Wavelet-SVM [Volume 6, Issue 2, 2022, Pages 1-20]
  • Support Vector Machines Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning Models [Volume 4, Issue 1, 2020, Pages 72-97]
  • Support vector regression Stream Flow Forecasting Using Least Square Support Vector Regression [Volume 2, Issue 2, 2018, Pages 56-88]
  • Support vector regression Application and Analysis of Machine Learning Algorithms for Design of Concrete Mix with Plasticizer and without Plasticizer [Volume 5, Issue 1, 2021, Pages 19-37]
  • Surrogate Model Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization [Volume 5, Issue 4, 2021, Pages 57-73]
  • Suspended sediment load Application of Whale Optimization Algorithm Combined with Adaptive Neuro-Fuzzy Inference System for Estimating Suspended Sediment Load [Volume 5, Issue 3, 2021, Pages 1-14]
  • SVM Assessing Compressive Strength of Concrete with Extreme Learning Machine [Volume 5, Issue 2, 2021, Pages 68-85]
  • SVM Modelling of Daily Suspended Sediment Concentration Using FFBPNN and SVM Algorithms [Volume 5, Issue 2, 2021, Pages 120-134]
  • SVM Experimental Investigation and Modeling of Aeration Efficiency at Labyrinth Weirs [Volume 5, Issue 3, 2021, Pages 15-31]
  • SVM RBF kernel Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand [Volume 3, Issue 2, 2019, Pages 30-42]

T

  • Taguchi Process Parameter Optimization for Minimizing Springback in Cold Drawing Process of Seamless Tubes Using Advanced Optimization Algorithms [Volume 2, Issue 3, 2018, Pages 72-90]
  • Text Mining Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • The probability of failure Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement [Volume 2, Issue 1, 2018, Pages 85-100]
  • Time-Cost Trade-Off Evolutionary Algorithm Performance Evaluation in Project Time-Cost Optimization [Volume 3, Issue 2, 2019, Pages 16-29]
  • TOPSIS Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques [Volume 2, Issue 1, 2018, Pages 101-116]
  • TOPSIS A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • TOPSIS Assessment of the Slope Stability Under Geological Conditions Using FDAHP-TOPSIS (A Case Study for Sungun Open Pit Mine) [Volume 5, Issue 4, 2021, Pages 21-40]
  • Torsion Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network [Volume 1, Issue 2, 2017, Pages 8-18]
  • Traffic Loading Comparative Analysis of Rigid Pavement Using Westergaard Method and Computer Program [Volume 2, Issue 2, 2018, Pages 19-30]
  • Training algorithm Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Training Functions Estimation of Building Construction Cost Using Artificial Neural Networks [Volume 3, Issue 1, 2019, Pages 91-107]
  • Transportation research Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Transverse Cracks A Comparative Review of Image Processing Based Crack Detection Techniques on Civil Engineering Structures [Volume 5, Issue 3, 2021, Pages 58-74]
  • Travel-time Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning Models [Volume 4, Issue 1, 2020, Pages 72-97]
  • Triangular fuzzy number A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]
  • Triaxial stress state Assessment of the Modulus of Elasticity at a Triaxial Stress State for Rocks Using Gene Expression Programming [Volume 4, Issue 4, 2020, Pages 47-60]
  • Tunneling project Identifying and Ranking of Mechanized Tunneling Project's Risks by Using A Fuzzy Multi-Criteria Decision Making Technique [Volume 6, Issue 1, 2022, Pages 29-45]

U

  • Ultimate bearing capacity Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [Volume 2, Issue 4, 2018, Pages 34-46]
  • Ultimate bearing capacity Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand [Volume 3, Issue 2, 2019, Pages 30-42]
  • Ultimate bearing capacity Application of Random Forest Regression in the Prediction of Ultimate Bearing Capacity of Strip Footing Resting on Dense Sand Overlying Loose Sand Deposit [Volume 3, Issue 4, 2019, Pages 28-40]
  • Ultra-High performance concrete Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes [Volume 5, Issue 4, 2021, Pages 1-20]
  • Uncertainty Modeling of Reference Crop Evapotranspiration in Wet and Dry Climates Using Data-Mining Methods and Empirical Equations [Volume 6, Issue 1, 2022, Pages 1-28]
  • Uncertainty Quantification The Gaussian Process Modeling Module in UQLab [Volume 2, Issue 3, 2018, Pages 91-116]
  • Uncertainty Quantification Multiple Target Machine Learning Prediction of Capacity Curves of Reinforced Concrete Shear Walls [Volume 5, Issue 4, 2021, Pages 90-113]
  • UQLab The Gaussian Process Modeling Module in UQLab [Volume 2, Issue 3, 2018, Pages 91-116]
  • Urban Heat Island Simulating the Urban Heat Island Augmented with a Heat Wave Episode Using ICTP RegCM4.7 in a Mega-Urban Structure of Karachi, Pakistan [Volume 5, Issue 1, 2021, Pages 49-61]

V

  • Vertical curve An Analysis of Sight Distances Considering Both the Vertical and Horizontal Curves of a Tourist Bound Destination Highway in Camarines Sur: The Lagonoy-Presentacion Section [Volume 2, Issue 2, 2018, Pages 116-126]
  • VGG19 Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]
  • VIKOR The Use of VIKOR Method to Set up Place Locating of Processing Plant (Case Study: Processing Plant of South of West Azerbaijan) [Volume 5, Issue 1, 2021, Pages 38-48]

W

  • Wall-to-window ratio Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches [Volume 5, Issue 4, 2021, Pages 41-56]
  • Waste materials Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Water resources Performance Evaluation of Machine Learning Models in Predicting Dry and Wet Climatic Phases [Volume 4, Issue 1, 2020, Pages 29-48]
  • Watershed Estimating Channel Cross Section Runoff Overflow Using Fuzzy Rule Based System: A Hydrologic Analysis of Mt. Isarog Watershed [Volume 3, Issue 3, 2019, Pages 37-46]
  • Wear rate Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Westergaard Method Comparative Analysis of Rigid Pavement Using Westergaard Method and Computer Program [Volume 2, Issue 2, 2018, Pages 19-30]
  • Wetting and drying cycles Gaussian Process Regression (GPR) for Auto-Estimation of Resilient Modulus of Stabilized Base Materials [Volume 5, Issue 1, 2021, Pages 80-94]
  • Wind-induced waves Forecasting of Wind-Wave Height by Using Adaptive Neuro-Fuzzy Inference System and Decision Tree [Volume 3, Issue 3, 2019, Pages 22-36]
  • WQI Simulation and Prediction of Groundwater Quality of a Semi-Arid Region Using Fuzzy Inference System and Neural Network Techniques [Volume 6, Issue 1, 2022, Pages 110-126]

Z

  • Zarinehrood river Application of Whale Optimization Algorithm Combined with Adaptive Neuro-Fuzzy Inference System for Estimating Suspended Sediment Load [Volume 5, Issue 3, 2021, Pages 1-14]