Engineering
Machine Learning Technique
100%
Breakage
100%
Random Forest
100%
Prediction
100%
Ballast Breakage
75%
Regression
75%
Digital Elevation Model
50%
Backpropagation
50%
Particle Size
50%
Support Vector Machine
50%
Models
50%
Simulation
50%
Networks
50%
Accuracy
50%
Classification
50%
Algorithm
25%
Dataset
25%
Loading Condition
25%
Predicted Value
25%
Loading Cycle
25%
Classification Algorithm
25%
Root-Mean-Squared Error
25%
Plastic Deformation
25%
Tasks
25%
Specifies
25%
Earth and Planetary Sciences
Machine Learning
100%
Breakage
100%
Size
100%
Particle
100%
Prediction
100%
Forest
50%
Modeling
37%
Regression
37%
Particle Size
25%
Support Vector Machine
25%
Simulation
25%
Model
25%
Network
25%
Algorithms
25%
Accuracy
25%
Catboost
25%
Pebble
12%
Plastic Deformation
12%
Investigation
12%
Value
12%
Shape
12%
Set
12%
Condition
12%
Data Set
12%
Error
12%
Gradient
12%
Cycle
12%
Mathematics
Number
100%
Prediction
100%
Modeling
75%
Support Vector Machine
50%
Particle Size
50%
Squared Error
25%
Predicted Value
25%
Training Set
25%
Test Set
25%
Variables
25%
Roots
25%
Loading Cycle
25%
Chemical Engineering
Learning System
100%
Neural Network
100%
Backpropagation
100%
Support Vector Machine
100%
Material Science
Particle
100%
Discrete Element Method
20%
Material
10%