Keyphrases
Deep Learning
100%
Sensor-based
100%
Feature Optimization
100%
Tool Wear Prediction
100%
Heterogeneous Sensors
100%
Prediction Accuracy
75%
Deep Learning Algorithm
50%
Signal Denoising
50%
Deep Learning Methods
25%
Feature Extraction
25%
Recursive Feature Elimination
25%
Cutting Tool Wear
25%
Tool Wear Condition
25%
Physical Mechanism
25%
Convolutional Neural Network Algorithm
25%
Filter Method
25%
Tool Utilization
25%
Feature Cross
25%
Machining Process
25%
Optimized Features
25%
Complex Signal
25%
Systematic Methodology
25%
Feature Extracting
25%
Isomap
25%
Heterogeneous Design
25%
Hampel Filter
25%
Extraction Features
25%
Resource Waste
25%
Tool Wear Monitoring
25%
Processing Complex
25%
Superior Performance
25%
Data Quality Enhancement
25%
Computer Science
Deep Learning
100%
Tool Wear Prediction
100%
Prediction Accuracy
50%
Signal Denoising
50%
Extracted Feature
50%
Case Study
25%
Convolutional Neural Network
25%
Feature Extraction
25%
Frequency Domain
25%
Systematic Methodology
25%
Superior Performance
25%
Filter Based Method
25%
Artificial Neural Network
25%
Engineering
Deep Learning
100%
Heterogeneous Sensor
100%
Extracted Feature
50%
Progression
25%
Convolutional Neural Network
25%
Feature Extraction
25%
Raw Data
25%
Accurate Prediction
25%
Recursive
25%
Time Domain
25%
Frequency Domain
25%
Main Stream
25%
Systematic Methodology
25%
Artificial Neural Network
25%
Material Science
Cutting Tool
100%
Machining
100%
Chemical Engineering
Deep Learning
100%
Neural Network
25%