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]
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