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