Computer Science
Mobile Application
100%
Neural Network
100%
Integer Programming
100%
Emergency Condition
100%
Integer-Linear Programming
100%
Programming Model
100%
Wireless Traffic
100%
Traffic Network
100%
Recurrent Neural Network
100%
Feature Extraction
100%
Feature Selection
75%
Neural Network Model
66%
Exponential Smoothing
66%
Moving Average
66%
Emergency Event
66%
Decision-Making
66%
Bipartite Graph
66%
Fulkerson Algorithm
66%
Multivariate Time Series
50%
Evaluation Criterion
33%
Research Topic
33%
Medical Personnel
33%
Emergency Situation
33%
Medical Treatment
33%
Unexpected Event
33%
Emergency Response Plan
33%
Artificial Neural Network
33%
Bayesian Networks
33%
Intelligent Transportation System
33%
Bandwidth Requirement
25%
Time Series Data
25%
Temporal Framework
25%
Selection Process
25%
Traffic Prediction
25%
Correlation Analysis
25%
Computer Network
25%
Traditional Model
25%
Network Traffic
25%
Extraction Process
25%
Extracted Feature
25%
Combination Method
25%
Temporal Modeling
25%
Wireless Network
25%
Cellular Network
25%
Pearson Correlation
25%
Engineering
Data Flow
100%
Medical Staff
100%
Feature Extraction
100%
Prediction Network
100%
Recurrent Neural Network
100%
Network Model
66%
Moving Average
66%
Linear Programming
50%
Programming Model
50%
Intelligent Transportation System
33%
Bipartite Graph
33%
Artificial Neural Network
33%
Limited Number
33%
Medical Team
33%
Bandwidth Requirement
25%
Data Series
25%
Pearsons Linear Correlation Coefficient
25%
Selection Process
25%
Cellular Network
25%
Crosscorrelation
25%
Extracted Feature
25%
Extraction Process
25%
Input Feature
25%
Process Output
16%
Emergency Situation
16%
Emergency Response
16%
Main Part
16%
Disaster Mitigation
16%
