Engineering
Resistivity Model
100%
Random Forest
100%
Clay Layer
100%
Learning System
100%
Model Building
50%
Electromagnetic Transient
50%
Metrics
50%
Radial Basis Function
50%
Receiver Operating Characteristic
50%
Operating-Characteristic Curve
50%
Machine Learning Technique
50%
Borehole
50%
Coastal Area
50%
Matrix Analysis
50%
Target Area
50%
Support Vector Machine
50%
Confusion Matrix
50%
Keyphrases
Resistivity
100%
Geological Model
100%
Machine Learning-based Approach
100%
Supervised Machine Learning
33%
Clay Layer
33%
Choushui River Alluvial Fan
33%
Python
33%
Gravel Layer
33%
3D Resistivity Modeling
33%
Taiwan
16%
Support Vector Machine
16%
Receiver Operating Characteristic Curve
16%
Building Model
16%
Transient Electromagnetic
16%
Modeling Techniques
16%
Coastal Area
16%
Low Resistivity
16%
Electromagnetic Data
16%
Statistical Methods
16%
Superior Performance
16%
High Resistivity
16%
Borehole Data
16%
Sediment Type
16%
Sand Layer
16%
Resistivity Anomaly
16%
Random Forest Algorithm
16%
Valuable Insight
16%
Comprehensive Approach
16%
Tree Support
16%
Evaluation Metrics
16%
Data Coverage
16%
Vertical Electrical Sounding
16%
Extreme Gradient Boosting(XGBoost)
16%
Resistivity Value
16%
Random Tree
16%
Sandy Clay
16%
Radial Basis Function Interpolation
16%
Confusion Matrix Analysis
16%
Clayey Sand
16%
Earth and Planetary Sciences
Machine Learning
100%
Alluvial Fan
66%
Taiwan
33%
Borehole
33%
Coastal Region
33%
Interpolation
33%
Vertical Electrical Sounding
33%
Support Vector Machine
33%
Matrices (Mathematics)
33%
Sandy Clay
33%