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Engineering
Adaboost
10%
Aggregate Concrete
5%
Artificial Intelligence
7%
Artificial Neural Network
8%
Ash Concrete
13%
Axial Capacity
7%
Bagasse Ash
27%
Bending Strength
19%
Cement Content
6%
Coarse Aggregate
16%
Compacting Concrete
9%
Comparative Analysis
6%
Compression Strength
77%
Compressive Strength
76%
Concrete Compressive Strength
6%
Data Point
6%
Durability Performance
6%
Elevated Temperature
10%
Fiber-Reinforced Concrete
14%
Fiber-Reinforced Polymer
6%
Fine Aggregate
16%
Geopolymer
17%
High-Performance Concrete
7%
Input Parameter
7%
Learning Approach
9%
Learning System
26%
Machine Learning Algorithm
13%
Machine Learning Technique
16%
Mean Absolute Error
9%
Mechanical Performance
22%
Mechanical Property
18%
Partial Substitution
5%
Programming Model
5%
Properties of Concrete
15%
Random Forest
11%
Regressors
7%
Reinforced Concrete
6%
Rice Husk Ash
10%
Root Mean Square Error
8%
Silica Fume
10%
Silicon Dioxide
8%
Steel Fiber
6%
Steel Tube
5%
Strength Concrete
17%
Superplasticizer
7%
Support Vector Machine
6%
Tensiles
7%
Test Result
6%
Ultimate Tensile Strength
21%
Wheat Straw
5%
Material Science
Bagasse
24%
Building Material
14%
Carbon Dioxide
8%
Carbon Fiber
6%
Cementitious Material
17%
Coal Ash
6%
Composite Material
8%
Compressive Strength
100%
Concrete Aggregate
16%
Concrete Mixture
5%
Corrosion
9%
Density
12%
Elastic Moduli
5%
Fiber Reinforced Concrete
17%
Flexural Strength
35%
Foundry Sand
5%
Gene Expression
36%
Geopolymer
31%
Glass Fiber
6%
Graphene Oxide
5%
High Performance Concrete
11%
Materials Property
8%
Mechanical Property
36%
Mechanical Strength
5%
Morphology
5%
Natural Fiber
5%
Poly Vinyl Alcohol
5%
Poly(propylene)
7%
Portland Cement
7%
Properties of Concrete
22%
Reinforced Concrete
17%
Reinforced Plastic
5%
Scanning Electron Microscopy
9%
Self Compacting Concrete
10%
Shear Strength
5%
Silica Fume
19%
Silicon Dioxide
9%
Sodium
10%
Steel Fiber
7%
Steel Rebar
10%
Ultimate Tensile Strength
41%
Workability
6%
X-Ray Diffraction
7%
Yield Stress
6%
