Keyword Index

A

  • 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]
  • 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 (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 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]

B

  • 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]

C

  • 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]
  • CFRP Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network [Volume 4, Issue 4, 2020, Pages 61-78]
  • 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]
  • 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]
  • Compression Index Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • 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]
  • 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 evaporation rate Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • Concrete Gravity Dams Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • 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]
  • 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]
  • 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]
  • Curve-fitting Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]

D

  • Damage Assessment Performance of Image-Based Crack Detection Systems in Concrete Structures [Volume 4, Issue 1, 2020, Pages 127-139]
  • Damage State Classification of Seismic Vulnerability Based on Machine Learning Techniques for RC Frames [Volume 4, Issue 2, 2020, Pages 13-21]
  • Data mining A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • 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]
  • Digital Image Correlation Performance of Image-Based Crack Detection Systems in Concrete Structures [Volume 4, Issue 1, 2020, Pages 127-139]
  • 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]

E

  • Earthquake Ground Motion Correlation of Ground Motion Duration with Its Intensity Metrics: A Simulation Based Approach [Volume 4, Issue 3, 2020, Pages 17-39]
  • 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]

F

  • Ferrocement Members Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]
  • Finite Element Dual Target Optimization of Two-Dimensional Truss Using Cost Efficiency and Structural Reliability Sufficiency [Volume 4, Issue 4, 2020, Pages 98-111]
  • Flexure Failure Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]

G

  • 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]
  • 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]
  • 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 Design Optimization of Reinforced Concrete Waffle Slab Using Genetic Algorithm [Volume 4, Issue 2, 2020, Pages 46-62]
  • Genetic Algorithms Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • 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]

H

  • 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]
  • 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 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]
  • Hot weather concreting Modeling the Influence of Environmental Factors on Concrete Evaporation Rate [Volume 4, Issue 4, 2020, Pages 79-97]
  • 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]

I

  • Intensity Measure Correlation of Ground Motion Duration with Its Intensity Metrics: A Simulation Based Approach [Volume 4, Issue 3, 2020, Pages 17-39]
  • Invasive Weed Optimization (IWO) Algorithm Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]

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]

L

  • 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]
  • 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]

M

  • 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]
  • 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]
  • Masonry Compressive Strength Estimation of Mesh Embedded Masonry Prism Using Empirical and Neural Network Models [Volume 4, Issue 4, 2020, Pages 24-35]
  • MATLAB EC2 (euro code 2) Design Optimization of Reinforced Concrete Waffle Slab Using Genetic Algorithm [Volume 4, Issue 2, 2020, Pages 46-62]
  • MDF Effect of MDF-Cover for Water Reservoir Evaporation Reduction, Experimental, and Soft Computing Approaches [Volume 4, Issue 1, 2020, Pages 98-110]
  • Metakaolin A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin [Volume 4, Issue 2, 2020, Pages 1-12]
  • 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]
  • Moment Capacity Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks [Volume 4, Issue 1, 2020, Pages 111-126]
  • 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]
  • 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 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]

N

  • Nature-Inspired Algorithms Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • 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]

O

  • Optimum Design Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]

P

  • 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 Optimization (PSO) Dual Target Optimization of Two-Dimensional Truss Using Cost Efficiency and Structural Reliability Sufficiency [Volume 4, Issue 4, 2020, Pages 98-111]
  • 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]
  • 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]
  • Precipitation forecasting Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model [Volume 4, Issue 4, 2020, Pages 36-46]

R

  • 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]
  • 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]
  • 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]
  • 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]
  • 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]

S

  • Saturated Clays Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • Second Order Cone Prediction of Compression Index of Saturated Clays Using Robust Optimization Model [Volume 4, Issue 3, 2020, Pages 1-16]
  • Semnan Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model [Volume 4, Issue 4, 2020, Pages 36-46]
  • Shape Optimization Shape Optimization of Gravity Dams Using a Nature-Inspired Approach [Volume 4, Issue 3, 2020, Pages 65-78]
  • 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]
  • 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]
  • 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 Machines Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning Models [Volume 4, Issue 1, 2020, Pages 72-97]

T

  • TOPSIS A Real-Time Warning System for Rear-End Collision Based on Random Forest Classifier [Volume 4, Issue 1, 2020, Pages 49-71]
  • Travel-time Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning Models [Volume 4, Issue 1, 2020, Pages 72-97]
  • 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]

V

  • VGG19 Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [Volume 4, Issue 3, 2020, Pages 40-51]

W

  • Water resources Performance Evaluation of Machine Learning Models in Predicting Dry and Wet Climatic Phases [Volume 4, Issue 1, 2020, Pages 29-48]