Engineering
Adaboost
14%
Aggregate Concrete
8%
Artificial Intelligence
13%
Artificial Neural Network
13%
Ash Concrete
14%
Axial Capacity
8%
Bagasse Ash
28%
Bending Strength
24%
Cement Content
9%
Ceramic Tile
8%
Coarse Aggregate
22%
Compacting Concrete
11%
Compression Strength
97%
Compressive Strength
97%
Concrete Compressive Strength
8%
Data Point
8%
Durability Performance
8%
Elevated Temperature
11%
Fiber Content
8%
Fiber-Reinforced Concrete
18%
Fine Aggregate
27%
Geopolymer
23%
High-Performance Concrete
13%
Input Parameter
9%
Learning Approach
17%
Learning System
48%
Machine Learning Algorithm
15%
Machine Learning Technique
21%
Mean Absolute Error
12%
Mechanical Performance
23%
Modulus of Elasticity
7%
Programming Model
9%
Properties of Concrete
25%
Random Forest
21%
Recycled Aggregate
9%
Recycled Concrete Aggregate
8%
Regressors
6%
Reinforced Concrete
6%
Rice Husk Ash
10%
Root Mean Square Error
12%
Silica Fume
15%
Silicon Dioxide
14%
Steel Fiber
8%
Strength Concrete
21%
Superplasticizer
11%
Supplementary Cementitious Material
10%
Support Vector Machine
9%
Tensiles
8%
Test Result
6%
Ultimate Tensile Strength
29%
Material Science
Bagasse
22%
Building Material
10%
Carbon Dioxide
9%
Carbon Fiber
5%
Cementitious Material
19%
Composite Material
25%
Compressive Strength
100%
Concrete Aggregate
17%
Concrete Mixture
5%
Corrosion
9%
Density
14%
Elastic Moduli
6%
Fiber Reinforced Concrete
20%
Flexural Strength
33%
Foundry Sand
5%
Gene Expression
36%
Geopolymer
27%
Glass Fiber
5%
High Performance Concrete
18%
Materials Property
5%
Morphology
5%
Natural Fiber
5%
Poly Vinyl Alcohol
5%
Polypropylene
9%
Portland Cement
6%
Properties of Concrete
22%
Reinforced Concrete
11%
Scanning Electron Microscopy
9%
Self Compacting Concrete
11%
Shear Strength
5%
Silica Fume
21%
Silicon Dioxide
7%
Sodium
9%
Steel Fiber
7%
Steel Rebar
9%
Surface (Surface Science)
14%
Ultimate Tensile Strength
48%
X-Ray Diffraction
7%
Yield Stress
8%
