Computer Science
Deep Learning Method
100%
Machine Learning
82%
Learning System
77%
Internet-Of-Things
65%
Convolutional Neural Network
61%
Transfer Learning
40%
Deep Learning Model
39%
Artificial Intelligence
39%
Feature Extraction
38%
Random Decision Forest
23%
Explainable Artificial Intelligence
22%
Blockchain
22%
Deep Neural Network
21%
Feature Selection
21%
Decision-Making
19%
Learning Approach
19%
Long Short-Term Memory Network
18%
Extreme Gradient Boosting
16%
Experimental Result
16%
Machine Learning Algorithm
16%
Data Augmentation
16%
Active Learning
15%
Classification Accuracy
15%
Digital Twin
14%
Leaning Parameter
14%
Ensemble Learning
13%
Neural Network
13%
Representation Learning
13%
Attention (Machine Learning)
13%
Comparative Analysis
13%
Feature Fusion
12%
Image Processing
12%
Superior Performance
12%
Logistic Regression
12%
Early Detection
11%
Gait Recognition
11%
Smart City
11%
Bidirectional Long Short-Term Memory Network
11%
Image Classification
11%
Machine Learning Approach
11%
Tumor Detection
11%
SHapley Additive exPlanation
10%
Decision Tree
10%
Classification Models
10%
Residual Neural Network
9%
k-Nearest Neighbors Algorithm
9%
Gradient Boosting
9%
Federated Learning
9%
Quantum Computing
9%
Deep Transfer Learning
9%
Engineering
Deep Learning Method
52%
Learning System
25%
Feature Extraction
21%
Transfer Learning
19%
Artificial Intelligence
19%
Convolutional Neural Network
16%
Machine Learning Algorithm
15%
Internet-Of-Things
13%
Gait Recognition
11%
Metrics
10%
Rock Slope
9%
Factor of Safety
8%
Random Forest
8%
Image Processing
7%
Learning Approach
7%
Quantum Computation
7%
Principal Component
6%
Computervision
6%
Slope Failure
6%
Smart City
6%
Gait Analysis
6%
Image Classification
6%
Component Analysis
5%
Machine Learning Technique
5%
Blockchain
5%
Research Work
5%
