Keyphrases
Deep Learning Methods
100%
Incomplete Data
100%
Bus Travel Time
100%
Smart Card
100%
Global Positioning System
66%
Prediction Accuracy
66%
Genetic Algorithm
66%
Model Performance
66%
Global Positioning System Data
66%
Long Short-term Memory Model
66%
Time Information
33%
Service Level
33%
Waiting Time
33%
Transit Agency
33%
Root Mean Square Error
33%
Schedule Adherence
33%
Market Penetration
33%
Bus Fleet
33%
Hybrid Data
33%
Hyperparameters
33%
Affect Prediction
33%
Smart Card Data
33%
Computer Science
Deep Learning
100%
Learning Approach
100%
Global Positioning System
100%
Bus Travel Time
100%
Smart Card
100%
Performance Model
50%
Genetic Algorithm
50%
Prediction Accuracy
50%
Memory Model
50%
Long Short-Term Memory Network
50%
Data Stream
25%
Time Information
25%
Market Penetration
25%
Wait Time
25%
Missing Information
25%
Mathematics
Incomplete Data
100%
Genetic Algorithm
100%
Performance Model
100%
Deep Learning
100%
Real-World Data
50%
Missing Information
50%
Mean Square Error
50%
Lowest Root
50%
Engineering
Deep Learning
100%
Learning Approach
100%
Global Positioning System
100%
Genetic Algorithm
50%
Long Short-Term Memory
50%
Data Stream
25%
Root Mean Square Error
25%
Bus Fleet
25%