Computer Science
Feature Selection
100%
Feature Extraction
100%
Learning Framework
66%
Deep Learning Method
66%
Image Classification
66%
Classification Accuracy
52%
Learning System
47%
Machine Learning
47%
Remote Sensing Image
44%
Feature Fusion
33%
Transfer Learning
30%
Bat Algorithm
25%
Primary Objective
25%
Feature Vector
25%
Artificial Bee Colony
22%
Fully Connected Layer
19%
Feature Space
16%
False Negative
16%
DenseNet
16%
Performance Indicator
16%
Machine Learning Algorithm
16%
Information Systems
16%
Computer Vision
16%
Early Detection
16%
False Positive Rate
16%
Convolutional Neural Network
16%
Neural Network Model
11%
Classification Framework
11%
Computational Cost
11%
Fundamental Component
11%
Convolutional Layer
11%
VGG-19 Convolutional Neural Network
8%
Whale Optimization Algorithm
8%
Grey Wolf Optimization
8%
Extracted Feature
8%
Classification Task
8%
Superior Performance
8%
VGG16
8%
Optimization Algorithm
8%
Inception V3
8%
Discriminative Feature
5%
Deep Feature
5%
Monte Carlo Simulation
5%
Convergence Rate
5%
Research Effort
5%
Computer Vision Algorithms
5%
Computational Complexity
5%
Engineering
Feature Extraction
50%
Selection Algorithm
50%
Transfer Learning
41%
Input Feature
41%
Feature Vector
41%
Feature Space
41%
Learning System
41%
Computervision
33%
Performance Indicator
33%
False Negative
33%
Radio Frequency
33%
Initial Phase
33%
Early Detection
33%
Optimal Feature
33%
Critical Role
16%
Machine Learning Algorithm
16%
Extracted Feature
8%
Redundant Information
8%
Early Stage
8%
