Engineering
Adaboost
14%
Aggregate Concrete
8%
Artificial Intelligence
13%
Artificial Neural Network
13%
Ash Concrete
14%
Axial Capacity
7%
Bagasse Ash
28%
Bending Strength
24%
Cement Content
8%
Ceramic Tile
8%
Coarse Aggregate
22%
Compacting Concrete
11%
Compression Strength
96%
Compressive Strength
96%
Concrete Compressive Strength
8%
Data Point
8%
Durability Performance
8%
Elevated Temperature
11%
Fiber Content
8%
Fiber-Reinforced Concrete
17%
Fine Aggregate
27%
Geopolymer
23%
High-Performance Concrete
12%
Input Parameter
9%
Learning Approach
17%
Learning System
48%
Machine Learning Algorithm
15%
Machine Learning Technique
21%
Mean Absolute Error
12%
Mechanical Performance
25%
Modulus of Elasticity
7%
Programming Model
9%
Properties of Concrete
24%
Random Forest
20%
Recycled Aggregate
8%
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
28%
Material Science
Bagasse
22%
Building Material
10%
Carbon Dioxide
8%
Carbon Fiber
5%
Cementitious Material
19%
Coal Ash
5%
Composite Material
25%
Compressive Strength
100%
Concrete Aggregate
16%
Concrete Mixture
5%
Corrosion
9%
Density
13%
Elastic Moduli
6%
Fiber Reinforced Concrete
21%
Flexural Strength
33%
Foundry Sand
5%
Gene Expression
36%
Geopolymer
26%
Glass Fiber
5%
High Performance Concrete
17%
Materials Property
5%
Morphology
5%
Natural Fiber
5%
Poly Vinyl Alcohol
5%
Polypropylene
9%
Portland Cement
7%
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
47%
X-Ray Diffraction
7%
Yield Stress
7%
