Keyphrases
Fractional Integral Operator
63%
Convolutional Neural Network
54%
Morrey Spaces
53%
Gram-negative Bacteria
49%
Dynamic Chromatic number
45%
Metric Dimension
44%
Training Process
43%
Custom Convolutional Neural Network
39%
Vertex Set
38%
Corona Product
36%
Local Metric Dimension
35%
Graph Coloring
34%
Dynamic Coloring
33%
Connected Graph
33%
Resolving Set
33%
Data Augmentation
32%
Fundus
32%
Reflexive
32%
Corona Product Graph
31%
Indonesia
31%
Reflexive Vertex Strength
29%
Vertex Coloring
26%
Computation Time
26%
Edge Set
26%
Fractional-order Model
24%
Pneumonia
24%
K-coloring
24%
Adjacent Vertices
23%
Minimum Cardinality
22%
Star Graph
22%
Wheel Graph
21%
Domination number
21%
Number of Vertices
21%
Tuberculosis Transmission
19%
Antimagic
19%
COVID-19
19%
Local Regularity
19%
Pothole
19%
Dominating Set
19%
Training Time
17%
Olsen Inequality
17%
Comb Product
17%
Complete Graph
17%
Segmentation Method
17%
Resolving Function
16%
Iris Image
16%
Resolving Dominating Set
16%
Local Resolving Set
16%
Peak Signal to Noise Ratio
15%
Mean Square Error
15%
Mathematics
Chromatic Number
68%
Integral Operator
62%
Fractional Integral
62%
Metric Dimension
58%
Boundedness
42%
Necessary and Sufficient Condition
39%
Edge
35%
Reproduction Number
32%
Connected Graph
30%
Cardinality
30%
Fractional Order
29%
Mathematical Modeling
24%
Dominating Set
19%
Type Inequality
17%
domination number γ
17%
Complete Graph
13%
Growth Condition
13%
Optimal Control Theory
12%
Distinct Vertex
11%
Quasi Metric Space
9%
Unordered Pair
9%
Rooted Product
9%
Regular Graph
9%
Multiset
9%
Poisson Regression
9%
Metric Measure
9%
Endemic Equilibrium
9%
Free Equilibrium
9%
Real Data
9%
Parameter Analysis
9%
Homogeneous Space
9%
Type Model
9%
Measure Space
9%
Parameter Estimation
9%
Convolutional Neural Network
9%
Training Process
9%
Natural Number
9%
Min-Max
8%
Fractional Order Derivative
8%
Commutative Operation
7%
Local Base
6%
Real Valued Function
5%
Positive Integer
5%
Engineering
Convolutional Neural Network
100%
Negative Bacteria
49%
Image Processing
22%
Image Classification
22%
Iris Image
19%
Network Model
19%
Computation Time
19%
Chromatic Number
19%
Road
19%
Signal-to-Noise Ratio
17%
Peak Signal
17%
Mean Square Error
17%
Exact Value
14%
Test Result
14%
Classification Accuracy
14%
Learning System
14%
Feature Extraction
14%
Image Data
13%
Transfer Learning
13%
Random Walker
9%
Calculation Accuracy
9%
Global Thresholding
9%
Reconfiguration
9%
Histogram
9%
Denoised Image
9%
Linear Unit
9%
Extreme Learning Machine
9%
Image Enhancement
9%
Metrics
9%
Neural Network Architecture
7%
Max
7%
Classification Method
7%
Input Layer
7%
Bit Depth
7%
Noisy Image
7%
Similarities
7%
Iris Pattern
6%
Gradient Descent
6%
Gaussian Filter
6%
Computational Time
6%
Initial Learning
6%
Output Layer
6%
Segmentation Method
5%
